Evidence map›Paper›PMID 38375240›Full record

ArticleClinical interventions in aging2024

Effects of Anticoagulant Therapy and Frailty in the Elderly Patients with Atrial Fibrillation.

Jiancao Ding, Ying Sun, Kan Zhang, Wei Huang, Mei Tang, Dai Zhang, Yunli Xing

Abstract read
In one paragraph

Article in Clinical interventions in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Jiancao DingDepartment of Geriatrics, First People's Hospital of Zigong, Sichuan, People's Republic of China.
Ying SunDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Kan ZhangDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Wei HuangDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Mei TangDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-7294-0355
Dai ZhangDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-7186-1946
Yunli XingDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0001-9487-2325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study explored whether anticoagulation is safe for frail and non-frail elderly patients who have nonvalvular atrial fibrillation (NVAF). Methods: At hospital discharge, the anticoagulant regimen and frailty status were recorded for 361 elderly patients (aged ≥75 y) with NVAF. The patients were followed for 12 months. The endpoints included occurrence of thrombosis; bleeding; all-cause death; and cardiovascular events. Results: At hospital discharge, frailty affected 50.42% of the population and the anticoagulation rate was 44.04%. At discharge, age (OR 0.948, Conclusion: In the elderly patients with NVAF, the decision toward anticoagulation therapy at hospital discharge was influenced by age, bleeding history, paroxysmal atrial fibrillation diagnosis, and absence of thrombosis. Frail patients were at greater risk of bleeding and all-cause mortality. Anticoagulation tended to reduce the risk of thrombotic events.

Indexed as

Atrial FibrillationFrailtyStrokeThrombosisAgedAnticoagulantsHemorrhageHumansRisk FactorsAnticoagulantsanticoagulationelderlyfrailtynon-valvular atrial fibrillation

Identifiers

PMID38375240
PMCPMC10875184

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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.