Evidence map›Paper›PMID 38316960›Full record

SynthesisInternational journal of obesity (2005)2024

Association of weight loss with cardiovascular or all-cause mortality in patients with heart failure: A meta-analysis.

Xinyue Wu, Yuxin Wang, Xinhua Hu

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in International journal of obesity (2005), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Xinyue WuDepartment of Vascular and Thyroid Surgery, The First Affiliated Hospital, China Medical University, Shenyang, 110001, China.
Yuxin WangDepartment of Vascular and Thyroid Surgery, The First Affiliated Hospital, China Medical University, Shenyang, 110001, China.
Xinhua HuDepartment of Vascular and Thyroid Surgery, The First Affiliated Hospital, China Medical University, Shenyang, 110001, China. xinhuahu@126.com.ORCID 0000-0001-6327-9465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA consensus has not been reached on the association between weight loss and survival outcomes in patients with heart failure (HF). This meta-analysis aimed to assess the association of weight loss with cardiovascular or all-cause mortality in patients with HF.

methodsTwo authors independently searched the articles indexed in the PubMed and Embase databases up to May 7, 2023. Post hoc analysis of randomized controlled trials or observational studies that reported the utility of weight loss in predicting cardiovascular or all-cause mortality in patients with HF were included.

resultsThirteen studies reporting on 12 articles involving 26,164 patients with HF were included. A comparison of weight loss with stable weight showed that the pooled adjusted hazard ratio (HR) for all-cause mortality was 1.75 (95% confidence intervals [CI] 1.43-2.14). Subgroup analysis revealed that weight loss was associated with an increased risk of all-cause mortality, irrespective of whether patients were overweight/obese (HR 1.76; 95% CI 1.41-2.20) or not (HR 1.90; 95% CI 1.14-3.14). The pooled adjusted HR of cardiovascular mortality was 1.64 (95% CI 1.18-2.28) for patients with weight loss compared to those without.

conclusionsWeight loss is associated with an increased risk of cardiovascular and all-cause mortality in patients with HF. Assessing weight changes can provide prognostic information for patients with HF.

Indexed as

Heart FailureWeight LossCardiovascular DiseasesCause of DeathHumansObesity

Identifiers

What OpenQuestion holds

Textmetadata
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.