ArticlePloS one2026
Systematic review and network meta-analysis of performance of the Sapporo criteria, the Revised Sapporo criteria, and the 2023 ACR/EULAR APS classification criteria for patients with antiphospholipid syndrome: A protocol.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAntiphospholipid syndrome is an autoimmune disorder characterized by recurrent thrombotic events and/or adverse pregnancy outcomes. Although three classification criteria-the 1999 Sapporo criteria, the Revised Sapporo criteria, and the 2023 ACR/EULAR antiphospholipid syndrome classification-have been developed primarily for research purposes to standardize patient selection, clinicians sometimes apply these criteria to aid in diagnostic decision-making. However, direct head-to-head studies comparing these three criteria remain scarce, and a comprehensive systematic review with network meta-analysis of their classification performance is lacking.
objectivesThe primary objective is to conduct a traditional meta-analysis to evaluate and compare the performance (sensitivity, specificity, positive likelihood ratio [PLR], negative likelihood ratio [NLR]) of each individual classification criterion. Secondary objectives include: 1) Conducting a Bayesian network meta-analysis (NMA) to compare and rank the three criteria using superiority index (SI); and 2) Exploring sources of heterogeneity through predefined subgroup analyses (primary vs. secondary APS, thrombotic vs. obstetric APS).
methodsAdhering to the PRISMA-P statement, this protocol has been registered in PROSPERO (CRD420251074199). A comprehensive literature search will be performed in electronic databases (PubMed/MEDLINE, Embase, the Cochrane Library, Web of Science) and gray literature sources (ClinicalTrials.gov, abstracts from international congresses including ACR, EULAR) from their inception to October 2025. Eligible studies are classification performance studies (cross-sectional, cohort, or case-control) that assess at least one of the three criteria against the reference standard (expert clinical diagnosis by rheumatologists/APS specialists, based on comprehensive evaluation of clinical history, persistent antiphospholipid antibodies [aPLs] testing, and exclusion of alternative causes). The quality of included studies will be assessed using the QUADAS-2 tool. Bayesian NMA will be conducted in R version 4.3.0 with the RStan package, adopting a random-effects ANOVA model. Heterogeneity will be assessed via Cochrane's Q test and the inconsistency index (I²), while publication bias will be evaluated using Deeks' funnel plot asymmetry test.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.