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Record W4417015948 · doi:10.1182/blood-2025-6172

Systematic review on the diagnostic evaluation of pediatric evans syndrome

2025· article· en· W4417015948 on OpenAlexaff
Megan Askew, Ashley V. Geerlinks, Neeti Luke, Thomas Pincez, Maritza E. Ruiz, Prachi Sharma, Sasidhar Goteti, Shilpa Nataraj, Monia Marchetti, Rachael F. Grace, Michele P. Lambert, Kirsty Hillier

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsUniversité de MontréalChildren's Hospital of Western OntarioCentre Hospitalier Universitaire Sainte-JustineWestern University
Fundersnot available
KeywordsEvans syndromeEtiologySystematic reviewAutoimmune lymphoproliferative syndromeRetrospective cohort studyMEDLINECritical appraisal

Abstract

fetched live from OpenAlex

Abstract Background: Evans syndrome (ES) is a complex disorder of multi-lineage autoimmune cytopenias and is often a chronic, relapsing disease with significant morbidity and mortality. Children with ES have a high rate of inborn errors of immunity, autoimmune lymphoproliferative syndrome (ALPS), and/or rheumatologic disease. It is crucial to identify underlying etiologies to guide appropriate management, but no national guidelines on the recommended diagnostic evaluation for pediatric patients exist. Recognizing the breadth of underlying etiologies and the current landscape of the evaluation of ES would inform guidance on the recommended diagnostic workup and future research recommendations. Aims: To evaluate the current evidence to guide the diagnostic evaluation of children with Evans syndrome. Methods: In conjunction with the ITP Consortium of North America (ICON), a systematic literature review was conducted using MEDLINE®, EMBASE, Cochrane, CINAHL, PsycINFO, and Scopus libraries from 1980-2024. Studies were included if they involved patients with ES or multi-lineage cytopenias and reported on the diagnostic evaluation. Studies focused on single lineage cytopenias, post-transplant or pregnancy related cytopenias, treatment or outcomes, case reports, case series with <3 patients, and systematic reviews were excluded. Joanna Briggs Institute critical appraisal tools were used to assess risk of bias. Results: After removing duplicates, 2772 studies were screened by title and abstract, and 103 studies underwent full-text review. Twenty-six studies met inclusion criteria, including 5 prospective and 21 retrospective cohort studies (one case series). Ten were multi-center; the remaining were single center studies. The geographic distribution was diverse, including North America (n=10), Europe (n=10), Central and South America (n=2), Asia (n=3), Australia (n=1) and the Middle East (n=1). In total, there were 920 patients (52.9% male); mean age was 11.4 years (n=23 studies reporting). Most studies (73%) included pediatric patients only, with the remainder including less than one third of pediatric patients (or unknown). A definition for ES was provided in 24 (92.3%) studies. Of these, 13 (54%) included immune thrombocytopenia (ITP), autoimmune hemolytic anemia (AIHA), and/or autoimmune neutropenia (AIN), while 11 (45.8%) excluded AIN. Definitions for individual cytopenias were reported for ITP in 12 (46.2%), AIHA in 15 (57.7%), and AIN in 11 (42.3%) studies. Sixteen studies (61.5%) reported rates of primary ES, while 18 studies (69.2%) reported rates of secondary ES. The most common secondary ES etiologies evaluated included ALPS (n=11 studies), rheumatologic/systemic autoimmune disease (n=11), CVID (n=10), infection (n=9), monogenic disorders of immunity (n=7), and malignancy (n=6). Family history was reported in 5 studies. All studies reported some clinical features of ES, including lymphoproliferation (n=14 studies), recurrent or refractory cytopenias (n=10 each), enteropathy (n=10), frequent/recurrent infections (n=9), bleeding (n=9), prior autoimmune diseases (n=9), and chronic cytopenias (n=6). All studies reported diagnostic evaluations, including hemoglobin (n=12), platelet (n=11), and absolute neutrophil counts (ANC, n=8). Hemolytic anemia workup included direct antiglobulin test (n=19), lactate dehydrogenase (n=10), indirect bilirubin (n=8), and haptoglobin (n=7). Anti-neutrophil and anti-platelet antibodies were each reported in 7 studies. Testing for underlying etiologies included quantitative immunoglobulins (n=17), anti-nuclear antibodies (n=17), lymphocyte subsets (n=11), double negative T cells (n=10), anti-phospholipid antibodies (n=9), bone marrow studies (n=9), viral testing (n=9), vaccination response (n=2), and vitamin B12 (n=2). Three studies described imaging findings. Genetic testing was described in 10 studies, including single gene (n=3), panel (n=6), exome sequencing (n=2), and unknown methods (n=3). Discussion/Conclusion: Pediatric ES is rare, with limited data from mostly retrospective studies using variable definitions of ES. Rates of primary and secondary ES, underlying etiologies, and clinical characteristics of patients with ES are inconsistently reported. Although aspects of the diagnostic evaluation were reported in all studies, the data was heterogenous and limited. Standardized criteria and diagnostic protocols are needed to improve evaluation and management of pediatric ES.

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)0.014
metaresearch head score (Gemma)0.079
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.017
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.079
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0170.017
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.011
GPT teacher head0.268
Teacher spread0.257 · 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 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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