Evidence mapPaperPMID 38613598Full record

SynthesisHeart failure reviews2024

Comparative analysis of treatment options for chronic heart failure and depression: a systematic review and Bayesian network meta-analysis.

Hamidreza Soleimani, Ali Nasrollahizadeh, Mohsen Hajiqasemi, Mandana Ebrahimzade, Homa Taheri, Pouya Ebrahimi, Haleh Ashraf, Marc D Samsky, Kaveh Hosseini

Abstract readSystematic ReviewComparative StudyNetwork Meta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Heart failure reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% of its field
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 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  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

9 authors at 4 institutions in 2 countries.

Hamidreza SoleimaniTehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Ali NasrollahizadehTehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mohsen HajiqasemiTehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mandana EbrahimzadeTehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Homa TaheriCedars-Sinai Medical Center, Heart Institute, 127 S San Vincente Blvd, AHSP A3417, Los Angeles, CA, 90048, USA.
Pouya EbrahimiTehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Haleh AshrafCardiac Primary Research Center, Cardiovascular Diseases Research Institute, Tehran University Prevention of Medical Sciences, Tehran, Iran.
Marc D SamskySection of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, USA.
Kaveh HosseiniTehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran. kaveh_hosseini130@yahoo.com.
Tehran University of Medical Sciences · IRCedars-Sinai Medical Center · USIsfahan University of Medical Sciences · IRYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different interventions have been evaluated for the treatment of depression in heart failure (HF) patients. However, clear and established recommendations are lacking. PubMed, Scopus, and Web of Science databases were systematically searched for randomized controlled trials (RCT) evaluating the effect of various treatment options on depression scores in heart failure patients. The primary outcome was a change in depression scores presented as standardized mean difference (SMD). A Bayesian network for meta-analysis was constructed. Twenty-five RCTs were included, randomizing 6014 patients with confirmed heart failure and depression between 2003 and 2022. Compared to treatment as usual (TAU), only cognitive behavioral therapy (CBT) (SMD - 0.60, CI95% [- 1.0, - 0.17]) leads to a significant reduction in depression scores. Other interventions did not improve depression scores significantly. Our results show that for patients with HF and depression, CBT can significantly improve measures of depression, being the most efficacious treatment.

Indexed as

Bayes TheoremDepressionHeart FailureChronic DiseaseCognitive Behavioral TherapyHumansCognitive behavioral therapyDepressionHeart failureMedical treatment

Identifiers

PMID38613598
OpenAlexW4394785075

What Socratic 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 Socratic graph.