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Record W4380870185 · doi:10.1093/rheumatology/kead288

Are all entheses the same?

2023· article· en· W4380870185 on OpenAlexaff
Sibel Zehra Aydın, Atul Deodhar

Bibliographic record

VenueLara D. Veeken · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersPfizerEli Lilly and Company
KeywordsMedicineEnthesisAnatomyTendon

Abstract

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This editorial refers to the article ‘Enthesitis in patients with psoriatic arthritis treated with secukinumab or adalimumab: a post hoc analysis of the EXCEED study’, published by Kaeley et al., 2023; https://doi.org/10.1093/rheumatology/kead181. Enthesis is a remarkable tissue that is differentiated to transmit the tensile load from the muscle to the bone. The inflammatory changes within the entheses, enthesitis, is a key feature of PsA and likely the initial event during the disease course. In this issue, Kaeley et al. [1] published the post hoc analysis of the EXCEED trial (NCT02745080), where the focus has been enthesitis, distribution of enthesitis according to different indices, differential efficacy of secukinumab and adalimumab according to the anatomical sites of enthesitis and time to resolution. We would like to congratulate the authors for looking at the enthesitis data with such a detailed approach. With the lack of histological information due to the potential risk of rupture with entheseal biopsies, our understanding of the course of enthesitis at different sites is severely limited. Therefore, responsiveness data from clinical trials give us a rare opportunity to examine entheses at discrete locations. Most clinical trials identify PsA patients for inclusion based on their articular disease, mostly polyarticular, with other domains being represented only by chance [2]. In the Efficacy of Secukinumab Compared to Adalimumab in Patients With Psoriatic Arthritis (EXCEED) trial, the prevalence of enthesitis is reported to be 58.5% with the Leeds Enthesitis Index (LEI) and 74.1% with the Spondyloarthritis Research Consortium of Canada (SPARCC) index [1]. A feature that is not frequently reported in the literature is the site distribution of enthesitis. In the EXCEED trial, all SPARCC sites had enthesitis with similar rates, ranging from 24 to 39%. These anatomical sites responded to both secukinumab and adalimumab to a similar extent, with complete resolution of enthesitis being in the range of 68–88.7% at week 12. The highest response was seen in the plantar fascia and the lowest being in the medial femoral condyle entheses. How can we explain the placebo response in enthesitis and at the same time non-response to secukinumab and adalimumab? The elephant in the room is the way we assess enthesitis. Unlike synovitis, enthesitis is a physical examination feature that is judged fully based on the patients’ pain response to the applied pressure. There is little to no objectivity to the examination. How pain is triggered in entheseal sites is not fully understood. Some possible mechanisms have elegantly been discussed in a review by De Lorenzis et al. [3]. Immune-mediated inflammation is one mechanism leading to pain, and peripheral pain sensitization is another key mechanism. The assessment of enthesitis requires a good knowledge of anatomy and ensuring that the pressure is applied exactly at the tendon or ligament insertion. The proximity of the fibromyalgia points and the entheses sites is a concern that impacts the accuracy of enthesitis assessment [4, 5]. Reflecting that, a study by Sapsford et al. [6] examined the SPARCC and LEI enthesitis sites in PsA patients with ultrasound. When analyses were restricted to PsA cases without concurrent fibromyalgia (n = 78), ultrasound inflammation correlated closely with both LEI (r = 0.48) and SPARCC (r = 0.62) (P < 0.0001 for both). However, for patients with PsA and fibromyalgia, there was no correlation between the clinical enthesitis indices and ultrasound (LEI: r = 0.01; SPARCC: r = 0.13). These observations support that if there is more than one pain mechanisms involved, the physical examination loses the accuracy of detecting enthesitis. This would be applicable to both the standard practice and clinical trials. Patients who are non-responders may be the ones that do not really have inflammatory enthesitis. The anatomical location of the entheses also impacts the accuracy of the physical examination. In a study where the aim was to investigate the relationship between physical examination and sonographic features of enthesitis in 2298 entheses, we found that patients with clinical enthesitis of the Achilles and patellar tendon origin had more corresponding abnormalities on ultrasound [7]. In contrast, the physical examination of the distal patellar tendon insertion and plantar aponeurosis were uncoupled from the ultrasound findings. This would suggest that the response rates for enthesitis reported in clinical trials may be more accurate for some sites (such as the Achilles) than others (plantar aponeurosis). Until our assessment for enthesitis gets better, seeing the response data separately for each of the entheses, as done by Kaeley et al. [1], helps us consider the limitations of our assessment for individual sites. The enthesitis scoring methods focus on only a small portion of existing entheses for understandable reasons. Specifically, as healthcare providers we tend to focus on large entheses, as we feel more confident about our own assessment skills. Should we be ignoring the entheses that are not included in the scoring methods? Are all entheses the same? How about the small entheses? The hands and feet are the most frequently involved anatomical sites in PsA for the ‘peripheral joints’ domain. The anatomy of the hands and feet is quite complex. In addition to the three joints in a single digit, there are multiple anatomical entheses (two for each extensor tendon, two for each flexor tendon, origins and insertions of two collateral ligaments for each joint, joint capsule insertions) in addition to the functional entheses, the pulleys (Fig. 1). These and some other adjacent structures work harmoniously to maintain fine motor skills. Our group has previously looked at whether physical examination can differentiate joint, tendon and entheseal abnormalities in PsA patients with a painful hand, using ultrasound as the gold standard [8]. We found that there was no agreement between the physical examination and ultrasound to differentiate the lesions of each of these. This suggests that the lack of response in a PIP joint with advanced therapy may be due to the real pathology being enthesitis of the extensor tendon insertion and not PIP joint inflammation (enthesitis domain vs synovitis domain of PsA). The representation of the small entheses of the hands. The insertions of the tendons and the collateral ligaments are shown as large green dots and joint capsule insertions are represented by small green dots. FDp: flexor digitorum profundus; FDs: flexor digitorum superficialis; ET-cb: extensor digitorum tendon central band; ET-lb: extensor digitorum tendon lateral band; CL: collateral ligament; *pulleys (functional entheses); **joint capsule In a disease as heterogeneous as PsA, the devil is in the details. Harmonizing the assessment tools and accurate evaluation of the underlying pathologies at baseline will give us an opportunity to understand the response of each of these lesions to treatments with different mechanisms of action. Detailed analysis from a head-to-head randomized clinical trial as published in this issue helps to improve our understanding of PsA pathogenesis. No new data were generated or analysed in support of this article. Data from the article by Kaeley et al. [1] are available within the manuscript and its supplementary material. Dr Aydin drafted the article and Dr Deodhar revised it critically for important intellectual content. Both authors approved the version to be published. No specific funding was received from any bodies in the public, commercial or not-for-profit sectors to carry out the work described in this article. Disclosure statement: S.Z.A. has received consulting and advisory boards fees and research grants from AbbVie, Eli Lilly, Janssen, Novartis, Pfizer and UCB. A.D. has received consulting and advisory board fees from AbbVie, Amgen, Aurinia, Bristol Myers Squibb, Eli Lilly, Janssen, MoonLake Immunotherapeutics, Novartis, Pfizer and UCB and research grants from AbbVie, Bristol Myers Squibb, Celgene, Eli Lilly, Galvani, Janssen, MoonLake, Novartis, Pfizer and UCB.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.016
Scholarly communication0.0090.019
Open science0.0010.003
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0190.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.130
GPT teacher head0.460
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2023
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