Evidence map›Paper›PMID 30595257›Full record

ArticleIndian heart journal2018

Frequency and predictors of depression in congestive heart failure.

Ibrahim Zahid, Mishall Ahmed Baig, Jaleed Ahmed Gilani, Nageen Waseem, Shumaila Ather, Aishath Shausha Farooq, Amna Ghouri, Simra Nadeem Siddiqui, Ram Kumar, Sahil and 6 more

Open access · goldAbstract read
In one paragraph

Article in Indian heart journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

16 authors at 4 institutions in 1 country.

Ibrahim ZahidDow University of Health Sciences, Pakistan. Electronic address: ibrahim_zahid@hotmail.com.
Mishall Ahmed BaigDow University of Health Sciences, Pakistan. Electronic address: mishaalbaig@hotmail.com.
Jaleed Ahmed GilaniZiauddin University, Pakistan. Electronic address: jaleedahmedgi16@gmail.com.
Nageen WaseemDow University of Health Sciences, Pakistan. Electronic address: nageenwsm@gmail.com.
Shumaila AtherZiauddin University, Pakistan. Electronic address: shumailaather14@gmail.com.
Aishath Shausha FarooqZiauddin University, Pakistan. Electronic address: shaushafarooq@gmail.com.
Amna GhouriDow University of Health Sciences, Pakistan. Electronic address: amnaghouri@gmail.com.
Simra Nadeem SiddiquiJinnah Sindh Medical University, Pakistan. Electronic address: simrasiddiqui1993@gmail.com.
Ram KumarChandka Medical College, Larkana, Pakistan. Electronic address: Ramlulla3553@gmail.com.
SahilChandka Medical College, Larkana, Pakistan. Electronic address: sahil200748@gmail.com.
SumanChandka Medical College, Larkana, Pakistan. Electronic address: Sumandr632@gmail.com.
Raj KumarChandka Medical College, Larkana, Pakistan. Electronic address: Raj_karira@yahoo.com.
Ravi KumarChandka Medical College, Larkana, Pakistan. Electronic address: ravi2671995@gmail.com.
Awais Ahmed MullaDow University of Health Sciences, Pakistan. Electronic address: awais.ahmed@gmail.com.
Rabbia SiddiqiDow University of Health Sciences, Pakistan. Electronic address: rabbiasiddiqi@hotmail.com.
Kaneez FatimaDow University of Health Sciences, Pakistan. Electronic address: kaneezfatima344@gmail.com.
Dow University of Health Sciences · PKChandka Medical College · PKZiauddin University · PKJinnah Sindh Medical University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression in congestive heart failure (CHF) patients can increase morbidity and mortality. Given the ever-rising prevalence of CHF patients with depression, it is vital that we understand the predictors of depression in these patients to identify and better manage these patients. The main objective of this study was to evaluate the frequency and predictors of depression in CHF patients.

methodsA cross-sectional study was conducted in a tertiary care hospital. Patients with a diagnosis of CHF for more than 6 months based on signs and left ventricular ejection fraction <40% were included. Patients were interviewed with the Patient Health Questionnaire-9 (PHQ-9) consisting of nine items in line with the Diagnostic and Statistical Manual (DSM) - IV criteria to assess depression. Each item was scored from 0 to 3, and a PHQ-9 score of 10 or greater suggested clinical depression. Data were analyzed on SPSS, v22, and a p < 0.05 was considered significant.

resultsOf 170 participants, 102 (60%) had depression. Among these 102 patients, 42% (n = 43) had mild depression, and the rest (n = 59) had moderate-to-severe depression. Predictors of depression were New York Heart Association stage 3 or 4 (p = 0.001), previous myocardial infarction (p = 0.001), living without a partner (p = 0.001), lack of a joint family system (p = 0.001), sedentary lifestyle (p = 0.001), aged 70 years or more (p = 0.01), and having been admitted in a hospital at least once in the past two months (p = 0.002).

conclusionDepression is common among patients with CHF. It is associated with multiple factors and needs to be addressed and targeted urgently.

Indexed as

Cross-Sectional StudiesDepressionFemaleHeart FailureHumansMaleMiddle AgedPakistanPrevalenceRetrospective StudiesStroke VolumeSurvival RateVentricular Function, LeftCongestive heart failureDepressionNYHA classification

Identifiers

PMID30595257
PMCPMC6309877
OpenAlexW2899845467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.