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Record W4410417349 · doi:10.1136/bmjopen-2025-100159

Efficacy and safety of novel complement inhibitors in atypical haemolytic uremic syndrome: a protocol for systematic review and meta-analysis

2025· article· en· W4410417349 on OpenAlexaboutno aff
Maulana A. Empitu, Rishab Jayanthi, Mensur Osman Yasin, Afaf Bouqoufi

Bibliographic record

VenueBMJ Open · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineObservational studyIntensive care medicineSystematic reviewMeta-analysisThrombotic microangiopathyCochrane LibraryProtocol (science)MEDLINEEvidence-based practiceAtypical hemolytic uremic syndromePublication biasOrphan drugAlternative medicineBioinformaticsInternal medicinePathologyImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Atypical Haemolytic Uremic Syndrome (aHUS) is a rare but life-threatening thrombotic microangiopathy. If inadequately managed, aHUS can lead to progressive kidney failure, cardiovascular complications and multiorgan dysfunction, resulting in high healthcare costs and a substantial impact on patients' quality of life. Novel complement inhibitors offer potential advantages, yet comprehensive evidence comparing their efficacy and safety is limited. This protocol elaborates the systematic review plans to evaluate the effectiveness and the drug safety of complement inhibitors in aHUS. METHODS: A systematic search will be conducted across PubMed, Embase, Cochrane Library, Web of Science and Scopus to identify relevant studies. Eligible studies include randomised controlled trials (RCTs), observational studies and case series with at least three aHUS patients treated with novel complement inhibitors. Two independent reviewers will perform data extraction and quality assessment using standardised tools, including the Risk of Bias Tool 2 for RCTs and the Newcastle-Ottawa Scale for observational studies. A meta-analysis will be conducted if feasible, utilising a random-effects model to account for study heterogeneity. ETHICS AND DISSEMINATION: Ethical approval is not required as only previously published data will be used. Results will be disseminated via peer-reviewed journals and conferences, targeting healthcare professionals and policymakers to support evidence-based decision-making in aHUS management. PROSPERO REGISTRATION NUMBER: CRD42025629879.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewlow
gptno category
Domain: not available · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.064
metaresearch head score (Gemma)0.090
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.064
Threshold uncertainty score0.338

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0640.090
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0190.030
Bibliometrics0.0110.010
Science and technology studies0.0030.003
Scholarly communication0.0060.006
Open science0.0050.005
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0590.005

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 head0.155
GPT teacher head0.457
Teacher spread0.302 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designSystematic review · Not applicable
Domainnot available
GenreProtocol

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

Citations0
Published2025
Admission routes1
Has abstractyes

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