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Reporting Bleeding Outcomes in Adult and Pediatric Studies of Primary Immune Thrombocytopenia: A Systematic Review

2012· review· en· W2551999103 on OpenAlexaff
Nastaran Noroozi, Cindy Neunert, Jennifer Goy, George R. Buchanan, Victor S. Blanchette, Donald M. Arnold

Bibliographic record

VenueBlood · 2012
Typereview
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsHospital for Sick ChildrenMcMaster University
Fundersnot available
KeywordsMedicineMEDLINEClinical endpointProspective cohort studyClinical trialPediatricsAdverse effectRandomized controlled trialInternal medicine

Abstract

fetched live from OpenAlex

Abstract Abstract 4281 Background: Bleeding is arguably the most clinically meaningful outcome in ITP clinical studies since it impacts morbidity, mortality and quality of life. Yet, the measurement of bleeding is not standardized, and its prevalence as a study outcome has not been well characterized. Methods: We performed a systematic review of all English language, prospective clinical studies enrolling 20 or more adults or children with primary ITP to determine if and how bleeding data were reported. In duplicate and independently, we searched MEDLINE, EMBASE, Cochrane and Cinahl databases until January 2012. Titles were screened for relevance and abstracts and full text articles were reviewed in duplicate for eligibility. Study selection and data abstraction were performed in duplicate. Patient demographics, use of a bleeding measurement tool and frequency of bleeding were collected from all studies. Results: We identified 167 prospective studies, including 29 (33%) randomized trials enrolling 13,976 patients with primary ITP (including 3,723 adults; 9,730 children; and 523 combined adults and children). Of 167 studies, 87 (52.1%) reported bleeding either as an efficacy endpoint (n=77), a safety endpoint (n=5) or both (n=5). Of the 87 studies that reported bleeding, 17 (19.5%) used an ITP-specific bleeding measurement tool. Such a tool was used in 4 of the 29 randomized trials. Less common were the Common Terminology Criteria for Adverse Events score (n=4) and the World Health Organization score (n=4); but the majority of studies did not use a predefined tool to measure bleeding. Bleeding was reported as present or absent (n=8 studies, 9.1%); by anatomical site only (n=39, 44%); by severity only (n=1, 1.1%); or by severity and anatomical site (n=29, 33%). Ten (29.8%) studies did not specify how bleeding was measured. Forty-three studies reported some association between platelet count and bleeding; however, none provided a statistical association with severity of thrombocytopenia. Summary: This study represents a summative description of the English-language world literature on bleeding outcomes in ITP studies. Of all studies, just over half (52.1%) reported bleeding outcomes. Only 20% of studies used a bleeding measurement tool that was specific for ITP patients. A standardized approach to bleeding and other patient-centered outcomes will help direct future research in ITP. Funding support from the McMaster Division of Hematology & Thromboembolism. Disclosures: Arnold: Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding; Hoffman-LaRoche: Research Funding.

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)0.032
metaresearch head score (Gemma)0.148
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.148
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0110.010
Bibliometrics0.0140.015
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.090
GPT teacher head0.369
Teacher spread0.279 · 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.

Study designSystematic review
DomainReporting
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

Citations0
Published2012
Admission routes1
Has abstractyes

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