Generic versus branded imatinib in frontline chronic myeloid leukemia: A systematic review and meta-analysis

IF 11.3 2区 医学 Q1 HEMATOLOGY
HemaSphere Pub Date : 2026-09-29 DOI:10.1002/hem3.70479
Shankar Biswas, Yashasvi Srivastava, Nayanika Tummala, Ayman Hamadttu
{"title":"Generic versus branded imatinib in frontline chronic myeloid leukemia: A systematic review and meta-analysis","authors":"Shankar Biswas,&nbsp;Yashasvi Srivastava,&nbsp;Nayanika Tummala,&nbsp;Ayman Hamadttu","doi":"10.1002/hem3.70479","DOIUrl":null,"url":null,"abstract":"<p>Chronic myeloid leukemia (CML) affects approximately 1 to 2 per 100,000 adults annually, and imatinib has transformed the disease into a chronic condition with near-normal life expectancy.<span><sup>1, 2</sup></span> Branded imatinib exceeded $100,000 per year in the United States prior to patent expiry, and more than 100 CML experts called these prices unsustainable.<span><sup>3</sup></span> The European LeukemiaNet 2020 recommendations endorsed generic imatinib as the cost-effective initial treatment for chronic-phase (CP) CML.<span><sup>4</sup></span> Individual studies comparing generic and branded imatinib have reported conflicting results. The only prior systematic review, by Erçalışkan et al.,<span><sup>5</sup></span> narratively summarized 36 papers but performed no quantitative pooling. We conducted the first meta-analysis pooling frontline clinical outcomes of generic versus branded imatinib in CML-CP.</p><p>This systematic review followed PRISMA 2020 guidelines<span><sup>6</sup></span> and was registered with PROSPERO. PubMed, Embase, and Scopus were searched from inception through January 2025 (Supporting Information S5: Table 6). Comparative observational studies enrolling adults with CML-CP who received generic imatinib with at least one frontline outcome compared with branded imatinib were included. Two reviewers independently extracted data and assessed quality using the Newcastle-Ottawa Scale (NOS; 0–9; Supporting Information S5: Table 2). Random-effects meta-analyses used the Mantel–Haenszel method with DerSimonian–Laird estimation. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated for binary outcomes; hazard ratios (HRs) were pooled for event-free survival using the inverse-variance method. Heterogeneity was assessed with <i>I</i><sup>2</sup> and Cochran <i>Q</i>. Pre-specified subgroup analyses were by geographic region and NOS quality. Leave-one-out sensitivity analyses were performed for both primary outcomes. Meta-regression examined publication year and NOS score as moderators. Publication bias was assessed with funnel plots and trim-and-fill. Certainty of evidence was assessed using GRADE (Supporting Information S5: Table 4). Switch response and detailed safety data from this systematic review will be reported separately.</p><p>A total of 696 records were identified; after removing 292 duplicates and screening 404 records, 30 full texts were assessed (Supporting Information S5: Table 5) and 21 studies were included (Supporting Information S1: Figure 1). The 21 studies<span><sup>7-15</sup></span> encompassed 5349 patients across 13 countries, published between 2013 and 2025 (Supporting Information S5: Table 1). NOS scores ranged from 2 to 9 (median, 7); 13 studies (62%) were rated good quality. Twelve frontline comparative studies contributed to at least one pooled analysis. Of the 16 studies included in quantitative pooling, fewer than half contributed to any individual endpoint, and several analyses relied on 3–5 studies.</p><p>Complete cytogenetic response (CCyR) was reported in 7 studies (3020 patients; generic, 771; branded, 2249). Generic imatinib was not associated with a difference in CCyR (OR, 1.05; 95% CI, 0.84–1.31; <i>I</i><sup>2</sup> = 0%; <i>Q</i> P = 0.778) (Figure 1A). The prediction interval was 0.80–1.38.</p><p>Major molecular response (MMR; BCR-ABL1 ≤ 0.1% IS) was reported in eight studies (2545 patients; generic, 780; branded, 1765). Generic imatinib was not associated with a difference in MMR (OR, 0.82; 95% CI, 0.56–1.18; <i>I</i><sup>2</sup> = 53.2%; <i>Q</i> P = 0.036) (Figure 1B). The prediction interval was 0.30–2.22.</p><p>Overall survival was reported in five studies. Tangkitchot et al.<span><sup>15</sup></span> was excluded from pooling (multivariate HR of 422, a numerical artifact from near-complete separation in 25 generic patients). Four studies (1881 patients; generic, 756; branded, 1125) were pooled (Supporting Information S2: Figure 2). Generic imatinib was not associated with a difference in mortality (OR, 1.12; 95% CI, 0.79–1.58; <i>I</i><sup>2</sup> = 0%).</p><p>Treatment failure, defined per original study criteria as lack of optimal response, loss of response, progression to accelerated or blast phase, or death, was reported in three studies (932 patients). Generic imatinib was associated with higher treatment failure (OR, 1.52; 95% CI, 1.08–2.12; <i>I</i><sup>2</sup> = 1.3%) (Supporting Information S3: Figure 3), driven by Pagnano et al.<span><sup>12</sup></span> and Iqbal et al.<span><sup>10</sup></span> Event-free survival, defined as freedom from loss of complete cytogenetic or MMR, progression, or death, was reported as HRs in three studies (634 patients). Pooled HR was 1.56 (95% CI, 1.05–2.32). Excluding Pagnano et al.,<span><sup>12</sup></span> whose branded cohort was a historical control from 2010 to 2011 compared with prospective generic enrollment in 2015–2018, yielded HR 1.31 (95% CI, 0.71–2.40; <i>I</i><sup>2</sup> = 0%). Early molecular response (BCR-ABL1 ≤ 10% at 3 months) was reported in five studies (502 patients), including Eskazan 2017 which specifically compared early molecular response between generic and branded formulations. The pooled OR was 0.66 (95% CI, 0.23–1.86; <i>I</i><sup>2</sup> = 81.4%). Excluding Kircali et al.<span><sup>11</sup></span> (generic, 32.2%; branded, 76.5%) yielded OR 1.00 (95% CI, 0.57–1.75; <i>I</i><sup>2</sup> = 0%). All pooled results are summarized in Table 1.</p><p>Among frontline studies reporting adverse events, no consistent pattern of increased toxicity was observed with generic imatinib. Danthala et al.<span><sup>7</sup></span> (<i>n</i> = 1211) reported lower edema rates with generics (generic, 4.8%; branded, 12.1%) with no Grade 3–4 events in either arm. Iqbal et al.<span><sup>10</sup></span> reported comparable Grade 3–4 hematologic toxicity (generic, 26%; branded, 30%). Dou et al.<span><sup>9</sup></span> reported similar adverse event profiles between arms. Available frontline safety data are summarized in Supporting Information S5: Table 5.</p><p>Subgroup analysis by region showed no difference for CCyR (<i>Q</i> = 0.05; P = 0.817) but a significant regional difference for MMR (<i>Q</i> = 6.56; P = 0.038). Leave-one-out analysis for CCyR yielded ORs ranging from 0.97 to 1.11; for MMR, from 0.73 to 0.92. Restricting to good-quality studies (NOS ≥ 7) yielded CCyR OR 1.17 (95% CI, 0.87–1.57; <i>k</i> = 5) and MMR OR 0.92 (95% CI, 0.56–1.50; <i>k</i> = 6). Funnel plots showed no asymmetry; trim-and-fill estimated two missing studies for CCyR (adjusted OR, 1.09; 95% CI, 0.88–1.34) and one for MMR (adjusted OR, 0.77; 95% CI, 0.54–1.10). Full sensitivity and meta-regression results are shown in Supporting Information S5: Table 3.</p><p>Publication year was associated with MMR effect size on meta-regression (coefficient, +0.129/year; P = 0.007; <i>R</i><sup>2</sup> = 90.0%). NOS score was also associated with MMR effect size (coefficient, +0.228; P = 0.028; <i>R</i><sup>2</sup> = 72.2%). Earlier studies reported larger differences between generic and branded imatinib; more recent, higher quality studies reported smaller or no differences. Plausible explanations include improvements in generic manufacturing processes and regulatory oversight, evolving molecular monitoring standards in participating countries, and a shift toward more rigorous study designs in later publications.</p><p>In this first meta-analysis pooling frontline outcomes of generic versus branded imatinib, generic imatinib was not associated with differences in CCyR, MMR, or OS. The CCyR result was particularly stable: zero between-study variance, a narrow prediction interval, and no shift on leave-one-out analysis. The treatment failure signal (OR, 1.52) was the only adverse finding. This estimate was based on only three studies, GRADE certainty was rated low due to the observational design and potential confounding, and the result was driven largely by Pagnano et al.,<span><sup>12</sup></span> which used a historical branded control from a different era. The EFS result became non-significant after exclusion of this study. These findings should be considered hypothesis-generating. These data support the ELN recommendation of generic imatinib as cost-effective frontline therapy,<span><sup>4</sup></span> while reinforcing the value of molecular monitoring during the first treatment year. All included studies were observational, only 7 of 21 adjusted for confounders, and the number of studies per analysis was small (<i>k</i> = 3–8). Formal publication bias assessment was limited by the small number of studies per endpoint, as funnel plot asymmetry testing has low power below <i>k</i> = 10. The term “generic imatinib” encompasses products from multiple manufacturers across different countries with potentially variable bioequivalence and quality profiles, which could not be disentangled. None of the included studies reported treatment-free remission outcomes or formal intolerance comparisons, which remain important evidence gaps. Future prospective studies with standardized endpoints, concurrent controls, and manufacturer-level data are warranted.</p><p><b>Shankar Biswas</b>: Conceptualization; funding acquisition; investigation; validation; writing—review and editing; visualization; project administration; formal analysis; software; methodology; supervision; data curation; resources; writing—original draft. <b>Yashasvi Srivastava</b>: Conceptualization; investigation; funding acquisition; writing—original draft. <b>Nayanika Tummala</b>: Methodology; validation; visualization; writing—review and editing. <b>Ayman Hamadttu</b>: Software; formal analysis; project administration; resources; supervision.</p><p>The authors declare no conflicts of interest.</p><p>Ethics approval and consent to participate: Not applicable. This study is a systematic review and meta-analysis of previously published data; no individual patient data were accessed, and no ethical approval was required.</p><p>This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.</p><p>The data that support the findings of this study are available from the corresponding author upon reasonable request.</p>","PeriodicalId":12982,"journal":{"name":"HemaSphere","volume":"10 10","pages":""},"PeriodicalIF":11.3000,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hem3.70479","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HemaSphere","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hem3.70479","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Chronic myeloid leukemia (CML) affects approximately 1 to 2 per 100,000 adults annually, and imatinib has transformed the disease into a chronic condition with near-normal life expectancy.1, 2 Branded imatinib exceeded $100,000 per year in the United States prior to patent expiry, and more than 100 CML experts called these prices unsustainable.3 The European LeukemiaNet 2020 recommendations endorsed generic imatinib as the cost-effective initial treatment for chronic-phase (CP) CML.4 Individual studies comparing generic and branded imatinib have reported conflicting results. The only prior systematic review, by Erçalışkan et al.,5 narratively summarized 36 papers but performed no quantitative pooling. We conducted the first meta-analysis pooling frontline clinical outcomes of generic versus branded imatinib in CML-CP.

This systematic review followed PRISMA 2020 guidelines6 and was registered with PROSPERO. PubMed, Embase, and Scopus were searched from inception through January 2025 (Supporting Information S5: Table 6). Comparative observational studies enrolling adults with CML-CP who received generic imatinib with at least one frontline outcome compared with branded imatinib were included. Two reviewers independently extracted data and assessed quality using the Newcastle-Ottawa Scale (NOS; 0–9; Supporting Information S5: Table 2). Random-effects meta-analyses used the Mantel–Haenszel method with DerSimonian–Laird estimation. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated for binary outcomes; hazard ratios (HRs) were pooled for event-free survival using the inverse-variance method. Heterogeneity was assessed with I2 and Cochran Q. Pre-specified subgroup analyses were by geographic region and NOS quality. Leave-one-out sensitivity analyses were performed for both primary outcomes. Meta-regression examined publication year and NOS score as moderators. Publication bias was assessed with funnel plots and trim-and-fill. Certainty of evidence was assessed using GRADE (Supporting Information S5: Table 4). Switch response and detailed safety data from this systematic review will be reported separately.

A total of 696 records were identified; after removing 292 duplicates and screening 404 records, 30 full texts were assessed (Supporting Information S5: Table 5) and 21 studies were included (Supporting Information S1: Figure 1). The 21 studies7-15 encompassed 5349 patients across 13 countries, published between 2013 and 2025 (Supporting Information S5: Table 1). NOS scores ranged from 2 to 9 (median, 7); 13 studies (62%) were rated good quality. Twelve frontline comparative studies contributed to at least one pooled analysis. Of the 16 studies included in quantitative pooling, fewer than half contributed to any individual endpoint, and several analyses relied on 3–5 studies.

Complete cytogenetic response (CCyR) was reported in 7 studies (3020 patients; generic, 771; branded, 2249). Generic imatinib was not associated with a difference in CCyR (OR, 1.05; 95% CI, 0.84–1.31; I2 = 0%; Q P = 0.778) (Figure 1A). The prediction interval was 0.80–1.38.

Major molecular response (MMR; BCR-ABL1 ≤ 0.1% IS) was reported in eight studies (2545 patients; generic, 780; branded, 1765). Generic imatinib was not associated with a difference in MMR (OR, 0.82; 95% CI, 0.56–1.18; I2 = 53.2%; Q P = 0.036) (Figure 1B). The prediction interval was 0.30–2.22.

Overall survival was reported in five studies. Tangkitchot et al.15 was excluded from pooling (multivariate HR of 422, a numerical artifact from near-complete separation in 25 generic patients). Four studies (1881 patients; generic, 756; branded, 1125) were pooled (Supporting Information S2: Figure 2). Generic imatinib was not associated with a difference in mortality (OR, 1.12; 95% CI, 0.79–1.58; I2 = 0%).

Treatment failure, defined per original study criteria as lack of optimal response, loss of response, progression to accelerated or blast phase, or death, was reported in three studies (932 patients). Generic imatinib was associated with higher treatment failure (OR, 1.52; 95% CI, 1.08–2.12; I2 = 1.3%) (Supporting Information S3: Figure 3), driven by Pagnano et al.12 and Iqbal et al.10 Event-free survival, defined as freedom from loss of complete cytogenetic or MMR, progression, or death, was reported as HRs in three studies (634 patients). Pooled HR was 1.56 (95% CI, 1.05–2.32). Excluding Pagnano et al.,12 whose branded cohort was a historical control from 2010 to 2011 compared with prospective generic enrollment in 2015–2018, yielded HR 1.31 (95% CI, 0.71–2.40; I2 = 0%). Early molecular response (BCR-ABL1 ≤ 10% at 3 months) was reported in five studies (502 patients), including Eskazan 2017 which specifically compared early molecular response between generic and branded formulations. The pooled OR was 0.66 (95% CI, 0.23–1.86; I2 = 81.4%). Excluding Kircali et al.11 (generic, 32.2%; branded, 76.5%) yielded OR 1.00 (95% CI, 0.57–1.75; I2 = 0%). All pooled results are summarized in Table 1.

Among frontline studies reporting adverse events, no consistent pattern of increased toxicity was observed with generic imatinib. Danthala et al.7 (n = 1211) reported lower edema rates with generics (generic, 4.8%; branded, 12.1%) with no Grade 3–4 events in either arm. Iqbal et al.10 reported comparable Grade 3–4 hematologic toxicity (generic, 26%; branded, 30%). Dou et al.9 reported similar adverse event profiles between arms. Available frontline safety data are summarized in Supporting Information S5: Table 5.

Subgroup analysis by region showed no difference for CCyR (Q = 0.05; P = 0.817) but a significant regional difference for MMR (Q = 6.56; P = 0.038). Leave-one-out analysis for CCyR yielded ORs ranging from 0.97 to 1.11; for MMR, from 0.73 to 0.92. Restricting to good-quality studies (NOS ≥ 7) yielded CCyR OR 1.17 (95% CI, 0.87–1.57; k = 5) and MMR OR 0.92 (95% CI, 0.56–1.50; k = 6). Funnel plots showed no asymmetry; trim-and-fill estimated two missing studies for CCyR (adjusted OR, 1.09; 95% CI, 0.88–1.34) and one for MMR (adjusted OR, 0.77; 95% CI, 0.54–1.10). Full sensitivity and meta-regression results are shown in Supporting Information S5: Table 3.

Publication year was associated with MMR effect size on meta-regression (coefficient, +0.129/year; P = 0.007; R2 = 90.0%). NOS score was also associated with MMR effect size (coefficient, +0.228; P = 0.028; R2 = 72.2%). Earlier studies reported larger differences between generic and branded imatinib; more recent, higher quality studies reported smaller or no differences. Plausible explanations include improvements in generic manufacturing processes and regulatory oversight, evolving molecular monitoring standards in participating countries, and a shift toward more rigorous study designs in later publications.

In this first meta-analysis pooling frontline outcomes of generic versus branded imatinib, generic imatinib was not associated with differences in CCyR, MMR, or OS. The CCyR result was particularly stable: zero between-study variance, a narrow prediction interval, and no shift on leave-one-out analysis. The treatment failure signal (OR, 1.52) was the only adverse finding. This estimate was based on only three studies, GRADE certainty was rated low due to the observational design and potential confounding, and the result was driven largely by Pagnano et al.,12 which used a historical branded control from a different era. The EFS result became non-significant after exclusion of this study. These findings should be considered hypothesis-generating. These data support the ELN recommendation of generic imatinib as cost-effective frontline therapy,4 while reinforcing the value of molecular monitoring during the first treatment year. All included studies were observational, only 7 of 21 adjusted for confounders, and the number of studies per analysis was small (k = 3–8). Formal publication bias assessment was limited by the small number of studies per endpoint, as funnel plot asymmetry testing has low power below k = 10. The term “generic imatinib” encompasses products from multiple manufacturers across different countries with potentially variable bioequivalence and quality profiles, which could not be disentangled. None of the included studies reported treatment-free remission outcomes or formal intolerance comparisons, which remain important evidence gaps. Future prospective studies with standardized endpoints, concurrent controls, and manufacturer-level data are warranted.

Shankar Biswas: Conceptualization; funding acquisition; investigation; validation; writing—review and editing; visualization; project administration; formal analysis; software; methodology; supervision; data curation; resources; writing—original draft. Yashasvi Srivastava: Conceptualization; investigation; funding acquisition; writing—original draft. Nayanika Tummala: Methodology; validation; visualization; writing—review and editing. Ayman Hamadttu: Software; formal analysis; project administration; resources; supervision.

The authors declare no conflicts of interest.

Ethics approval and consent to participate: Not applicable. This study is a systematic review and meta-analysis of previously published data; no individual patient data were accessed, and no ethical approval was required.

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

The data that support the findings of this study are available from the corresponding author upon reasonable request.

非专利与品牌伊马替尼治疗一线慢性髓性白血病:一项系统回顾和荟萃分析
慢性髓性白血病(CML)每年影响大约每10万名成年人中有1至2人,伊马替尼已将该疾病转化为慢性疾病,预期寿命接近正常。在专利到期之前,品牌伊马替尼在美国每年的价格超过10万美元,超过100名CML专家称这些价格是不可持续的欧洲白血病网络2020推荐认可仿制伊马替尼作为慢性cml (CP)的具有成本效益的初始治疗。4比较仿制伊马替尼和品牌伊马替尼的个别研究报告了相互矛盾的结果。先前唯一的系统综述是Erçalışkan等人进行的,5叙述性地总结了36篇论文,但没有进行定量汇总。我们进行了第一次荟萃分析,汇集了仿制药与品牌药伊马替尼在CML-CP中的一线临床结果。该系统评价遵循PRISMA 2020指南6,并已在PROSPERO注册。PubMed、Embase和Scopus从成立到2025年1月进行了检索(支持信息S5:表6)。比较观察性研究纳入了接受仿制伊马替尼治疗的CML-CP成人患者,与品牌伊马替尼相比,他们至少有一个一线结局。两位审稿人独立提取数据并使用纽卡斯尔-渥太华量表(NOS; 0-9;支持信息S5:表2)评估质量。随机效应荟萃分析使用Mantel-Haenszel方法和dersimonan - laird估计。计算二元结果的合并优势比(ORs)和95%置信区间(CIs);采用反方差法汇总无事件生存率的风险比(hr)。采用I2和Cochran q评估异质性。预先指定的亚组分析按地理区域和NOS质量进行。对两个主要结局进行留一敏感性分析。meta回归检验了出版年份和NOS评分作为调节因子。采用漏斗图和修剪填充法评估发表偏倚。使用GRADE评估证据的确定性(支持信息S5:表4)。该系统评价的开关反应和详细的安全性数据将分别报告。共识别696条记录;在删除292个重复项和筛选404条记录后,评估了30个全文(支持信息S5:表5),并纳入了21项研究(支持信息S1:图1)。这21项研究包括2013年至2025年间发表的13个国家的5349名患者(支持信息S5:表1)。NOS评分范围从2到9(中位数,7);13项研究(62%)被评为质量良好。12个前沿比较研究至少形成了一个汇总分析。在纳入定量池的16项研究中,不到一半的研究对任何单个终点有贡献,一些分析依赖于3-5项研究。7项研究报告了完全细胞遗传学反应(CCyR)(3020例患者;仿制药771例;品牌药2249例)。非专利伊马替尼与CCyR的差异无关(OR, 1.05; 95% CI, 0.84-1.31; I2 = 0%; Q P = 0.778)(图1A)。预测区间为0.80 ~ 1.38。8项研究报告了主要分子反应(MMR; BCR-ABL1≤0.1% IS)(2545例患者;仿制药780例;品牌药1765例)。非专利伊马替尼与MMR差异无关(OR, 0.82; 95% CI, 0.56-1.18; I2 = 53.2%; Q P = 0.036)(图1B)。预测区间为0.30 ~ 2.22。五项研究报告了总生存率。Tangkitchot等人15被排除在合集之外(多变量风险比为422,这是25名普通患者近乎完全分离的数字伪象)。共纳入4项研究(1881例患者;非专利756例;品牌1125例)(支持信息S2:图2)。非专利伊马替尼与死亡率差异无关(OR, 1.12; 95% CI, 0.79-1.58; I2 = 0%)。三个研究(932例患者)报告了治疗失败,根据原始研究标准定义为缺乏最佳反应、反应丧失、进展到加速期或爆炸期或死亡。通用伊马替尼与更高的治疗失败率相关(OR, 1.52; 95% CI, 1.08-2.12; I2 = 1.3%)(支持信息S3:图3),由Pagnano等人12和Iqbal等人推动。10无事件生存,定义为没有完全细胞遗传学或MMR的丧失、进展或死亡,在3项研究(634例患者)中被报告为hr。合并风险比为1.56 (95% CI, 1.05-2.32)。排除Pagnano等人,其中12人的品牌队列是2010 - 2011年的历史对照,与2015-2018年的前瞻性仿制药入组相比,其风险比为1.31 (95% CI, 0.71-2.40; I2 = 0%)。5项研究(502例患者)报告了早期分子反应(3个月时BCR-ABL1≤10%),包括Eskazan 2017,该研究专门比较了仿制药和品牌制剂的早期分子反应。合并OR为0.66 (95% CI, 0.23-1.86; I2 = 81.4%)。排除Kircali等人11(仿制药,32.2%;品牌,76.5%)得出OR为1.00 (95% CI, 0.57-1.75; I2 = 0%)。 表1总结了所有合并的结果。在报告不良事件的一线研究中,未观察到通用伊马替尼毒性增加的一致模式。Danthala et al.7 (n = 1211)报道,非专利药组的水肿率较低(非专利药4.8%;品牌药12.1%),两组均无3-4级事件。Iqbal等人10报告了类似的3-4级血液学毒性(仿制药,26%;品牌,30%)。Dou等人9报告了两组之间相似的不良事件概况。可用的一线安全数据汇总在支持信息S5:表5中。区域亚组分析显示,CCyR无显著性差异(Q = 0.05, P = 0.817), MMR有显著性差异(Q = 6.56, P = 0.038)。CCyR的留一分析的or范围为0.97至1.11;MMR为0.73 ~ 0.92。限于高质量的研究(NOS≥7),CCyR OR为1.17 (95% CI, 0.87-1.57, k = 5), MMR OR为0.92 (95% CI, 0.56-1.50, k = 6)。漏斗图不存在不对称性;trim- fill估计CCyR有两项缺失研究(校正OR, 1.09; 95% CI, 0.88-1.34), MMR有一项缺失研究(校正OR, 0.77; 95% CI, 0.54-1.10)。全灵敏度和元回归结果见支持信息S5:表3。meta回归显示,出版年份与MMR效应大小相关(系数为+0.129/年;P = 0.007; R2 = 90.0%)。NOS评分也与MMR效应大小相关(系数为+0.228;P = 0.028; R2 = 72.2%)。早期的研究报告了仿制伊马替尼和品牌伊马替尼之间的较大差异;最近,高质量的研究报告了较小或没有差异。合理的解释包括仿制药生产工艺和管理监督的改进,参与国分子监测标准的发展,以及在后来的出版物中转向更严格的研究设计。在第一个汇总了仿制药与品牌药伊马替尼一线结果的荟萃分析中,仿制药伊马替尼与CCyR、MMR或OS的差异无关。CCyR结果特别稳定:研究间方差为零,预测区间窄,留一分析无移位。治疗失败信号(OR, 1.52)是唯一的不良发现。这一估计仅基于三项研究,由于观察设计和潜在的混淆,GRADE确定性被评为较低,结果主要由Pagnano等人推动,12他们使用了来自不同时代的历史品牌对照。排除本研究后,EFS结果变得不显著。这些发现应该被认为是假设生成。这些数据支持ELN推荐非专利伊马替尼作为具有成本效益的一线治疗4,同时加强了在治疗第一年进行分子监测的价值。所有纳入的研究都是观察性的,21项研究中只有7项对混杂因素进行了调整,而且每次分析的研究数量很少(k = 3-8)。正式的发表偏倚评估受到每个终点研究数量较少的限制,因为漏斗图不对称检验在k = 10以下的有效性很低。“非专利伊马替尼”一词包括来自不同国家的多个制造商的产品,这些产品可能具有不同的生物等效性和质量概况,无法进行区分。没有纳入的研究报告无治疗缓解结果或正式的不耐受比较,这仍然是重要的证据差距。未来有标准化终点、并发对照和制造商级数据的前瞻性研究是必要的。Shankar Biswas:概念化;资金收购;调查;验证;写作——审阅和编辑;可视化;项目管理;正式的分析;软件;方法;监督;数据管理;资源;原创作品。Yashasvi Srivastava:概念化;调查;资金收购;原创作品。Nayanika Tummala:方法论;验证;可视化;写作-审查和编辑。Ayman Hamadttu:软件;正式的分析;项目管理;资源;监督。作者声明无利益冲突。伦理批准和同意参与:不适用。本研究对先前发表的数据进行了系统回顾和荟萃分析;没有访问任何个体患者数据,也不需要伦理批准。这项研究没有从公共、商业或非营利部门的资助机构获得任何具体的资助。支持本研究结果的数据可根据通讯作者的合理要求提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
HemaSphere
HemaSphere Medicine-Hematology
CiteScore
6.10
自引率
4.50%
发文量
2776
审稿时长
7 weeks
期刊介绍: HemaSphere, as a publication, is dedicated to disseminating the outcomes of profoundly pertinent basic, translational, and clinical research endeavors within the field of hematology. The journal actively seeks robust studies that unveil novel discoveries with significant ramifications for hematology. In addition to original research, HemaSphere features review articles and guideline articles that furnish lucid synopses and discussions of emerging developments, along with recommendations for patient care. Positioned as the foremost resource in hematology, HemaSphere augments its offerings with specialized sections like HemaTopics and HemaPolicy. These segments engender insightful dialogues covering a spectrum of hematology-related topics, including digestible summaries of pivotal articles, updates on new therapies, deliberations on European policy matters, and other noteworthy news items within the field. Steering the course of HemaSphere are Editor in Chief Jan Cools and Deputy Editor in Chief Claire Harrison, alongside the guidance of an esteemed Editorial Board comprising international luminaries in both research and clinical realms, each representing diverse areas of hematologic expertise.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书