Enzo von Quednow , Noor Husain , Paweł Łajczak , Guilherme Linha Secco , Aishwarya Koppanatham
{"title":"黄金海岸标准对肌萎缩性侧索硬化症的诊断准确性:一项系统评价和荟萃分析","authors":"Enzo von Quednow , Noor Husain , Paweł Łajczak , Guilherme Linha Secco , Aishwarya Koppanatham","doi":"10.1016/j.clinph.2025.2111005","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To compare the diagnostic accuracy of Gold Coast Criteria (GCC) with Revised El Escorial Criteria (rEEC) and Awaji Criteria (AC) in suspected amyotrophic lateral sclerosis (ALS).</div></div><div><h3>Methods</h3><div>PubMed, EMBASE, Web of Science, Cochrane Library, and Google Scholar were searched through December 2024. Eligible studies assessed patients using GCC, rEEC, and/or AC, reporting or allowing calculation of sensitivity and specificity. Quality was evaluated using QUADAS-2 and STARD. “Probable+” included probable and definite classifications; “Possible+” encompassed possible to definite. Sensitivity analyses excluded the largest study with imputed data and included a sensitivity-only model. PRISMA-DTA compliant; PROSPERO CRD42025623678.</div></div><div><h3>Results</h3><div>Nine studies (n = 9656), all from ALS referral centers, were included. GCC showed higher sensitivity (∼95 %) than rEEC and AC Probable+ (59 % and 54 %) and Possible+ (84 % and 85 %), but lower specificity (66 %) vs. rEEC (Probable+ 94 %, Possible+ 77 %) and AC (Probable+ 94 %, Possible+ 82 %). GCC achieved the highest AUC (0.95) and diagnostic odds ratio (36.1). Sensitivity-only analysis confirmed GCC performance (97 %).</div></div><div><h3>Conclusions</h3><div>GCC demonstrated superior sensitivity, potentially facilitating earlier recognition and trial inclusion. Their lower specificity requires caution, particularly in low-prevalence contexts. Applicability in unselected neurology populations remains uncertain.</div></div><div><h3>Significance</h3><div>GCC may enable earlier ALS diagnosis and timely trial enrollment in referral centers.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"179 ","pages":"Article 2111005"},"PeriodicalIF":3.6000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diagnostic accuracy of the Gold Coast Criteria for amyotrophic lateral sclerosis: a systematic review and meta-analysis\",\"authors\":\"Enzo von Quednow , Noor Husain , Paweł Łajczak , Guilherme Linha Secco , Aishwarya Koppanatham\",\"doi\":\"10.1016/j.clinph.2025.2111005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>To compare the diagnostic accuracy of Gold Coast Criteria (GCC) with Revised El Escorial Criteria (rEEC) and Awaji Criteria (AC) in suspected amyotrophic lateral sclerosis (ALS).</div></div><div><h3>Methods</h3><div>PubMed, EMBASE, Web of Science, Cochrane Library, and Google Scholar were searched through December 2024. Eligible studies assessed patients using GCC, rEEC, and/or AC, reporting or allowing calculation of sensitivity and specificity. Quality was evaluated using QUADAS-2 and STARD. “Probable+” included probable and definite classifications; “Possible+” encompassed possible to definite. Sensitivity analyses excluded the largest study with imputed data and included a sensitivity-only model. PRISMA-DTA compliant; PROSPERO CRD42025623678.</div></div><div><h3>Results</h3><div>Nine studies (n = 9656), all from ALS referral centers, were included. GCC showed higher sensitivity (∼95 %) than rEEC and AC Probable+ (59 % and 54 %) and Possible+ (84 % and 85 %), but lower specificity (66 %) vs. rEEC (Probable+ 94 %, Possible+ 77 %) and AC (Probable+ 94 %, Possible+ 82 %). GCC achieved the highest AUC (0.95) and diagnostic odds ratio (36.1). Sensitivity-only analysis confirmed GCC performance (97 %).</div></div><div><h3>Conclusions</h3><div>GCC demonstrated superior sensitivity, potentially facilitating earlier recognition and trial inclusion. Their lower specificity requires caution, particularly in low-prevalence contexts. Applicability in unselected neurology populations remains uncertain.</div></div><div><h3>Significance</h3><div>GCC may enable earlier ALS diagnosis and timely trial enrollment in referral centers.</div></div>\",\"PeriodicalId\":10671,\"journal\":{\"name\":\"Clinical Neurophysiology\",\"volume\":\"179 \",\"pages\":\"Article 2111005\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Neurophysiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1388245725008570\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neurophysiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1388245725008570","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Diagnostic accuracy of the Gold Coast Criteria for amyotrophic lateral sclerosis: a systematic review and meta-analysis
Objective
To compare the diagnostic accuracy of Gold Coast Criteria (GCC) with Revised El Escorial Criteria (rEEC) and Awaji Criteria (AC) in suspected amyotrophic lateral sclerosis (ALS).
Methods
PubMed, EMBASE, Web of Science, Cochrane Library, and Google Scholar were searched through December 2024. Eligible studies assessed patients using GCC, rEEC, and/or AC, reporting or allowing calculation of sensitivity and specificity. Quality was evaluated using QUADAS-2 and STARD. “Probable+” included probable and definite classifications; “Possible+” encompassed possible to definite. Sensitivity analyses excluded the largest study with imputed data and included a sensitivity-only model. PRISMA-DTA compliant; PROSPERO CRD42025623678.
Results
Nine studies (n = 9656), all from ALS referral centers, were included. GCC showed higher sensitivity (∼95 %) than rEEC and AC Probable+ (59 % and 54 %) and Possible+ (84 % and 85 %), but lower specificity (66 %) vs. rEEC (Probable+ 94 %, Possible+ 77 %) and AC (Probable+ 94 %, Possible+ 82 %). GCC achieved the highest AUC (0.95) and diagnostic odds ratio (36.1). Sensitivity-only analysis confirmed GCC performance (97 %).
Conclusions
GCC demonstrated superior sensitivity, potentially facilitating earlier recognition and trial inclusion. Their lower specificity requires caution, particularly in low-prevalence contexts. Applicability in unselected neurology populations remains uncertain.
Significance
GCC may enable earlier ALS diagnosis and timely trial enrollment in referral centers.
期刊介绍:
As of January 1999, The journal Electroencephalography and Clinical Neurophysiology, and its two sections Electromyography and Motor Control and Evoked Potentials have amalgamated to become this journal - Clinical Neurophysiology.
Clinical Neurophysiology is the official journal of the International Federation of Clinical Neurophysiology, the Brazilian Society of Clinical Neurophysiology, the Czech Society of Clinical Neurophysiology, the Italian Clinical Neurophysiology Society and the International Society of Intraoperative Neurophysiology.The journal is dedicated to fostering research and disseminating information on all aspects of both normal and abnormal functioning of the nervous system. The key aim of the publication is to disseminate scholarly reports on the pathophysiology underlying diseases of the central and peripheral nervous system of human patients. Clinical trials that use neurophysiological measures to document change are encouraged, as are manuscripts reporting data on integrated neuroimaging of central nervous function including, but not limited to, functional MRI, MEG, EEG, PET and other neuroimaging modalities.