Evidence map›Paper›PMID 39094333›Full record

ReviewThrombosis research2024

Anticoagulant therapy in renal insufficiency theme: Anticoagulation in complex situations.

Anna L Parks, Scott M Stevens, Scott C Woller

Abstract readReview
In one paragraph

Review 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

3 authors.

Anna L ParksDivision of Hematology & Hematologic Malignancies, Department of Internal Medicine, University of Utah, United States of America. Electronic address: anna.parks@hsc.utah.edu.
Scott M StevensDepartment of Medicine, Intermountain Medical Center, Intermountain Health, United States of America; Division of General Internal Medicine, Department of Internal Medicine, University of Utah, United States of America.
Scott C WollerDepartment of Medicine, Intermountain Medical Center, Intermountain Health, United States of America; Division of General Internal Medicine, Department of Internal Medicine, University of Utah, United States of America.

Funding

Development and Preliminary Validation of a Bleeding Quality of Life PatientReported Outcome Measure for Older AdultsR03AG074074 · NIA · UNIVERSITY OF UTAH · PI PARKS, ANNA L · 2021 to 2022
$305k
NIA NIH HHS R03 AG074074
6 · The paper itself

Abstract

Many patients with impaired renal function have concurrent indications for anticoagulant therapy, including atrial fibrillation and venous thromboembolism. For mild chronic kidney disease, data from clinical trials and existing guidelines can be applied to clinical management. The benefits and harms of anticoagulation therapy in patients with more advanced renal impairment are nuanced, as both thrombotic and bleeding risk are increased. Until recently, data regarding anticoagulants in severe renal impairment were primarily observational, but emerging evidence includes a few small clinical trials and the emergence of novel agents hypothesized to have improved efficacy and safety in this population. In this review, we summarize existing data on anticoagulation in patients with chronic kidney disease. We suggest a framework for anticoagulation decision-making in the burgeoning worldwide population of patients with chronic kidney disease.

Indexed as

AnticoagulantsAtrial FibrillationHemorrhageHumansRenal InsufficiencyRenal Insufficiency, ChronicVenous ThromboembolismAnticoagulantsAnticoagulationAtrial fibrillationCardiovascular diseaseChronic kidney diseaseRenal impairmentVenous thromboembolism

Identifiers

PMID39094333
PMCPMC11418398

What OpenQuestion holds

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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.