Evidence map›Paper›PMID 38583311›Full record

ArticleThrombosis research2024

Modest performance of risk-prediction models for anticoagulant-related bleeding in patients with chronic liver disease.

Amber Afzal, Brian F Gage, Luo Suhong, Martin Schoen, Kristen M Sanfilippo

Abstract readLetter
In one paragraph

Article in Thrombosis research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Amber AfzalDepartment of Medicine, Washington University in St Louis, St Louis, MO, United States of America. Electronic address: afzalamber@wustl.edu.
Brian F GageDepartment of Medicine, Washington University in St Louis, St Louis, MO, United States of America.
Luo SuhongDepartment of Medicine, St. Louis Veterans Administration Medical Center, St Louis, MO, United States of America.
Martin SchoenDepartment of Medicine, St. Louis Veterans Administration Medical Center, St Louis, MO, United States of America.
Kristen M SanfilippoDepartment of Medicine, Washington University in St Louis, St Louis, MO, United States of America; Department of Medicine, St. Louis Veterans Administration Medical Center, St Louis, MO, United States of America.

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Prediction of Anticoagulant-Related Bleeding Risk in Patients with CancerR01HL166386 · NHLBI · WASHINGTON UNIVERSITY · PI Kristen Marie Sanfilippo · 2023 to 2026
$1.6M
NCATS NIH HHS UL1 TR000448NHLBI NIH HHS R01 HL166386
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AnticoagulantsHemorrhageLiver DiseasesAgedChronic DiseaseFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsAnticoagulantsAnticoagulant-related bleedingChronic liver diseaseRisk-prediction

Identifiers

PMID38583311
PMCPMC12532376

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.