Response to Andrea Truini: Diagnosing a Lesion or Diagnosing Neuropathic Pain?

IF 3.8 2区 医学 Q1 ANESTHESIOLOGY
Didier Bouhassira, Nadine Attal
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We never argued otherwise. Paraclinical investigations are clinically valuable and often essential for identifying an underlying neurological lesion or disease. Our proposal is to reconsider their role in pain classification, not to dismiss their clinical utility. The critical distinction concerns what these investigations really demonstrate. Nerve conduction abnormalities establish peripheral nerve dysfunction, reduced intraepidermal nerve fibre density indicates small-fibre pathology, and imaging may identify structural lesions. However, none establishes that the identified abnormality causes the patient's pain. This distinction matters because neurological lesions are frequently painless, and structural abnormalities may also occur in conditions not conventionally classified as neuropathic pain. Even a hypothetical test with perfect sensitivity and specificity for detecting a neurological lesion would not necessarily establish whether that specific lesion causes pain. 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引用次数: 0

Abstract

We thank Professor Andrea Truini for his thoughtful and constructive commentary (Truini 2026) on our position paper related to the NeuPSIG diagnostic algorithm for neuropathic pain (Bouhassira and Attal 2026). We are pleased that we share substantial common ground: diagnostic confidence in neuropathic pain should emerge from the convergence of multiple sources of information rather than from a rigid hierarchy privileging supposedly objective findings over patients' reports. Our disagreement concerns a narrower but fundamental question: should investigations demonstrating a somatosensory lesion contribute directly to the classification of pain as neuropathic?

We entirely agree that ‘imperfect tests are not uninformative tests’. We never argued otherwise. Paraclinical investigations are clinically valuable and often essential for identifying an underlying neurological lesion or disease. Our proposal is to reconsider their role in pain classification, not to dismiss their clinical utility. The critical distinction concerns what these investigations really demonstrate. Nerve conduction abnormalities establish peripheral nerve dysfunction, reduced intraepidermal nerve fibre density indicates small-fibre pathology, and imaging may identify structural lesions. However, none establishes that the identified abnormality causes the patient's pain. This distinction matters because neurological lesions are frequently painless, and structural abnormalities may also occur in conditions not conventionally classified as neuropathic pain. Even a hypothetical test with perfect sensitivity and specificity for detecting a neurological lesion would not necessarily establish whether that specific lesion causes pain. Hence, accuracy for diagnosing a lesion and accuracy for classifying pain are fundamentally different purposes.

Adrea Truini refers to the studies by Peter Dyck and colleagues to support objective anchoring when clinical examination is unreliable. However, these studies evaluated the diagnosis of diabetic polyneuropathy, not whether patients' pain was neuropathic. Nerve conduction studies provide an excellent reference for diagnosing neuropathy, but do not constitute an equivalent reference for classifying pain. The same reasoning applies to small-fibre neuropathy. Diagnostic criteria combining clinical signs, thermal thresholds and intraepidermal nerve fibre density illustrate the value of convergence for identifying neuropathy. They do not establish that these findings reliably distinguish painful from painless neuropathy. Indeed, the weak association between intraepidermal nerve fibre density and pain was a central argument in our position paper.

We acknowledge Andrea Truini's point that some laser evoked potential parameters may be less influenced by psychological modulation than response amplitude, and that methodological standardisation may improve test reliability. Nevertheless, improved reliability in detecting somatosensory dysfunction does not solve the question of its causal relationship with pain.

We also agree that the diagnostic accuracy of neuropathic pain screening questionnaires should be interpreted cautiously. Their performances vary across populations, and positive scores may be observed in non-neuropathic pain conditions.

Our intention was never to replace an objective gold standard with a subjective one. Rather we questioned why patient-reported measures are systematically considered less informative than instrument-derived findings, despite the latter's own limitations. Our proposed algorithm deliberately requires convergence between history and topography, neuropathic pain descriptors, and sensory abnormalities. Symptoms alone cannot establish probable or definite neuropathic pain.

Andrea Truini's strongest objection is that our model allows a classification of definite neuropathic pain without independent confirmation of a somatosensory lesion. This is correct and deliberate. Consider a patient with a characteristic history, neuroanatomically plausible pain distribution, typical neuropathic descriptors, and concordant sensory deficits or allodynia, but normal paraclinical investigations. Should this patient's pain necessarily be classified as less certainly neuropathic than that of someone with less compelling clinical features but with an abnormal investigation?

Our proposal challenges precisely this assumption. It does not disregard neurological lesions: history and topography must remain compatible with somatosensory pathology. However, demonstrating a lesion does not automatically provide stronger evidence concerning the nature of the pain than a coherent clinical phenotype.

Ultimately, our positions may be closer than they initially appear. Andrea Truini agrees that investigations should not constitute a rigid diagnostic gatekeeper, that normal findings should not exclude neuropathic pain when clinical evidence is compelling, and that all findings require contextual interpretation.

The remaining disagreement concerns whether lesion-demonstrating investigations should be included within the pain-classification algorithm itself. We favour distinguishing two related questions: is the patient's pain neuropathic? What neurological lesion or disease may account for it? Paraclinical investigations are essential to the second question and may inform clinical judgement regarding the first one, but combining them risks confusing evidence of neural pathology with evidence of pain causation.

We fully support Andrea Truini's suggestion that future research should quantify the incremental contribution of individual investigations to neuropathic pain classification. Importantly, such studies must avoid circular validation against reference standards that already incorporate the tests under evaluation.

As also recently proposed by Finnerup and Glyfadottir (Finnerup and Gylfadottir 2026), a NeuPSIG working group would provide an excellent opportunity to develop and validate a genuinely integrative framework. Our objective is not to diminish the importance of neurological investigations, but to ensure that diagnostic certainty about neuropathic pain is not confused with certainty about the presence of a neurological lesion.

This correspondence was designed and written by both authors.

This article is related Truini and Attal paper. To view this article, visit https://doi.org/10.1002/ejp.70421 and https://doi.org/10.1002/ejp.70350.

Andrea Truini:诊断病变还是诊断神经性疼痛?
我们感谢Andrea Truini教授对我们关于神经性疼痛的NeuPSIG诊断算法的立场文件(Bouhassira and Attal 2026)进行了深思熟虑和建设性的评论(Truini 2026)。我们很高兴我们有大量的共同点:神经性疼痛的诊断信心应该来自多种信息来源的融合,而不是来自一个严格的等级制度,即所谓的客观发现高于患者的报告。我们的分歧涉及一个更狭窄但更基本的问题:研究表明体感损伤是否可以直接有助于将疼痛分类为神经性疼痛?我们完全同意“不完美的测试不是没有信息的测试”。我们从来没有这样争论过。临床旁的调查在临床上是有价值的,并且对于确定潜在的神经损伤或疾病是必不可少的。我们的建议是重新考虑它们在疼痛分类中的作用,而不是忽视它们的临床应用。关键的区别在于这些调查真正证明了什么。神经传导异常确定周围神经功能障碍,表皮内神经纤维密度降低提示小纤维病理,影像学可识别结构性病变。然而,没有一个确定的异常导致病人的疼痛。这种区别很重要,因为神经病变通常是无痛的,结构异常也可能发生在传统上不被归类为神经性疼痛的情况下。即使是一种假设的检测神经病变具有完美的灵敏度和特异性的测试,也不一定能确定该特定病变是否会引起疼痛。因此,诊断病变的准确性和疼痛分类的准确性是根本不同的目的。Adrea Truini指的是Peter Dyck及其同事在临床检查不可靠时支持客观锚定的研究。然而,这些研究评估的是糖尿病多发神经病的诊断,而不是患者的疼痛是否是神经性的。神经传导研究为神经病变的诊断提供了很好的参考,但不能构成疼痛分类的等效参考。同样的道理也适用于小纤维神经病变。结合临床症状、热阈值和表皮内神经纤维密度的诊断标准说明了收敛性对识别神经病变的价值。他们没有确定这些发现能够可靠地区分疼痛性和无痛性神经病变。事实上,表皮内神经纤维密度与疼痛之间的弱关联是我们立场文件的中心论点。我们承认Andrea Truini的观点,即某些激光诱发电位参数受心理调制的影响可能小于响应幅度,并且方法标准化可以提高测试的可靠性。然而,提高检测躯体感觉功能障碍的可靠性并不能解决其与疼痛的因果关系问题。我们也同意神经性疼痛筛查问卷的诊断准确性应谨慎解释。他们的表现因人群而异,在非神经性疼痛条件下可以观察到正分数。我们的意图绝不是用主观的金本位取代客观的金本位。相反,我们质疑为什么患者报告的测量被系统地认为比仪器衍生的结果信息更少,尽管后者本身有局限性。我们提出的算法故意要求病史和地形、神经性疼痛描述符和感觉异常之间的收敛。仅凭症状不能确定可能的神经性疼痛。安德里亚·特鲁尼最强烈的反对意见是我们的模型允许在没有独立确认体感损伤的情况下对神经性疼痛进行分类。这是正确的,也是深思熟虑的。考虑一个具有特征性病史,神经解剖学上合理的疼痛分布,典型的神经病描述,一致的感觉缺陷或异常性疼痛,但临床旁调查正常的患者。这个病人的疼痛是否应该被归类为不太确定的神经性,而不是那些临床特征不那么明显但检查异常的人?我们的建议恰恰挑战了这一假设。它不忽视神经病变:病史和地形必须与体感觉病理保持一致。然而,与连贯的临床表型相比,证明病变并不自动提供有关疼痛性质的更强有力的证据。最终,我们的立场可能比最初看起来更接近。安德里亚·特鲁尼同意,调查不应构成严格的诊断把关人,当临床证据令人信服时,正常的发现不应排除神经性疼痛,所有的发现都需要上下文解释。 剩下的分歧是,是否应该将病变显示调查纳入疼痛分类算法本身。我们倾向于区分两个相关的问题:病人的疼痛是神经性的吗?什么神经损伤或疾病可以解释它?临床调查对第二个问题至关重要,并可能为第一个问题的临床判断提供信息,但将它们结合起来可能会混淆神经病理证据与疼痛原因证据。我们完全支持Andrea Truini的建议,即未来的研究应该量化个体调查对神经性疼痛分类的增量贡献。重要的是,这类研究必须避免对照已纳入评估试验的参考标准进行循环验证。正如Finnerup和Glyfadottir最近提出的那样(Finnerup和Gylfadottir 2026), NeuPSIG工作组将为开发和验证真正的集成框架提供极好的机会。我们的目的不是贬低神经学研究的重要性,而是确保神经性疼痛的诊断不与神经病变的存在相混淆。这些通信是由两位作者设计和撰写的。本文是有关Truini和Attal的论文。要查看本文,请访问https://doi.org/10.1002/ejp.70421和https://doi.org/10.1002/ejp.70350。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of Pain
European Journal of Pain 医学-临床神经学
CiteScore
7.50
自引率
5.60%
发文量
163
审稿时长
4-8 weeks
期刊介绍: European Journal of Pain (EJP) publishes clinical and basic science research papers relevant to all aspects of pain and its management, including specialties such as anaesthesia, dentistry, neurology and neurosurgery, orthopaedics, palliative care, pharmacology, physiology, psychiatry, psychology and rehabilitation; socio-economic aspects of pain are also covered. Regular sections in the journal are as follows: • Editorials and Commentaries • Position Papers and Guidelines • Reviews • Original Articles • Letters • Bookshelf The journal particularly welcomes clinical trials, which are published on an occasional basis. Research articles are published under the following subject headings: • Neurobiology • Neurology • Experimental Pharmacology • Clinical Pharmacology • Psychology • Behavioural Therapy • Epidemiology • Cancer Pain • Acute Pain • Clinical Trials.
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