Evidence map›Paper›PMID 42853856›Full record

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.

Jie Wang, Yangqi Yin, Jiaqi Qu, Zhongbin Tao, Xuyang Chi, Xinyue Zhang

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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.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jie WangDepartment of Pediatrics, The Second People's Hospital of Gansu Province, Lanzhou, Gansu, China.
Yangqi YinDepartment of Pediatrics, General Hospital of Fushun Mining Bureau of Liaoning Health Industry Group, Fushun, Liaoning, China.
Jiaqi QuCollege of Life Sciences, Wuhan University, Wuhan, Hubei, China.
Zhongbin TaoDepartment of Pediatrics, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Xuyang ChiSecond Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Xinyue ZhangDepartment of Hematology, Dalian Women and Children's Medical Group, Dalian, Liaoning, China.ORCID https://orcid.org/0009-0001-8398-9867

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Antiphospholipid SyndromeBayes TheoremFemaleHumansNetwork Meta-Analysis as TopicPregnancySystematic Reviews as Topic

Identifiers

PMID42853856
PMCPMC13652260

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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.