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Record W3024724454 · doi:10.1111/1756-185x.13829

Effect of TNF‐inhibitor therapy on spinal structural progression in ankylosing spondylitis patients: A systematic review and meta‐analysis

2020· review· en· W3024724454 on OpenAlexaffabout
Prabjit Ajrawat, Zahi Touma, İ̇smail Sarı, Cameron Taheri, Juan Pablo Díaz Martinez, Nigil Haroon

Bibliographic record

VenueInternational Journal of Rheumatic Diseases · 2020
Typereview
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsKrembil FoundationUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineAnkylosing spondylitisObservational studyInternal medicineCochrane LibraryRandomized controlled trialMeta-analysisStrengthening the reporting of observational studies in epidemiologyPhysical therapy

Abstract

fetched live from OpenAlex

Abstract To review the effect of tumor necrosis factor‐alpha inhibitor (TNFi) therapies on radiographic progression in ankylosing spondylitis (AS) patients as evaluated by the modified Stoke Ankylosing Spondylitis Spine Score (mSASSS). Pubmed, MEDLINE, EMBASE, and the Cochrane Library databases were searched from inception to August 2019. All comparative and non‐comparative studies that evaluated the clinical effectiveness of TNFi on radiographic progression as assessed by mSASSS change at a minimum follow‐up of 1 year were included. The Newcastle–Ottawa Scale and Cochrane Collaboration Risk of Bias Tool were utilized to assess the methodological quality. Pooled analysis was performed for continuous and binomial variables where appropriate. Inter‐rater reliability of mSASSS status and change scores were assessed with intra‐class coefficients (ICC). Twenty‐one studies were identified with a total of 4460 patients (mean age: 40.4 years [range 25.3‐50 years]; 76% male; mean baseline mSASSS: 12.7 units [range 5.5‐19.8 units]). All studies (3 randomized and 18 observational studies) were considered to have moderate‐to‐high methodological quality. The inter‐rater reliability of mSASSS status and change scores from 14 of the 21 studies were excellent (ICC ranges, 0.91‐0.99) and moderate‐to‐excellent (ICC ranges, 0.58‐0.90), respectively. From the 21 studies, 11/21 (50%) demonstrated a delayed effect in mSASSS in AS patient administered TNFi. When stratifying these studies into those with ≤4 years of follow‐up and >4 years follow‐up, 3/11 (27%) and 8/10 (80%) studies respectively indicated a delayed effect of mSASSS with TNFi in AS patients. Pooling for meta‐analysis from 3 studies (1159 patients) with study durations ranging 4‐8 years, indicated that TNFi‐treated patients had reduced odds of structural progression (odds ratio 0.81; 95% CI 0.68‐0.96; P = .01; I 2 = 0%). Mean rate of mSASSS change from 16 studies ranged from −0.15 to 7.3 mSASSS units for all AS patients. Meta‐analysis indicated a numerical, but statistically non‐significant, reduction in the rate of mSASSS change with TNFi treatment (7 studies [1438 patients]; mean difference, −0.24; 95% CI, −0.49‐0.01; P = .06; I 2 = 0%). This systematic review and meta‐analysis indicated that >4 years of TNFi usage was associated with delayed structural progression by mSASSS. The narrative analysis of the data from 21 studies further confirmed that studies with >4 years of follow‐up had delayed structural progression with TNFi use in AS patients. The systematic review also confirmed that mSASSS has good‐to‐excellent inter‐rater reliability in AS.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.302
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.385
Teacher spread0.360 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations14
Published2020
Admission routes2
Has abstractyes

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