Evidence map›Paper›PMID 42502571›Full record

ArticleCardiology research and practice2026

Carbohydrate Antigen 125 as a Marker of Decongestion and Early Outcomes in Acute Decompensated Heart Failure: Insights From a Tertiary Hospital in Western Kenya.

Rebeccah Ayoti Abutika, Felix Ayub Barasa, David Lagat, Gideon Titus Ng'eno, Gerald S Bloomfield

Abstract read
In one paragraph

Article in Cardiology research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Rebeccah Ayoti AbutikaDepartment of Cardiology, Moi University School of Medicine, Eldoret, Kenya, mu.ac.ke.ORCID https://orcid.org/0000-0003-2942-001X
Felix Ayub BarasaDepartment of Cardiology, Moi Teaching and Referral Hospital, Eldoret, Kenya, mu.ac.ke.
David LagatDepartment of Cardiology, Moi University School of Medicine, Eldoret, Kenya, mu.ac.ke.
Gideon Titus Ng'enoDepartment of Medicine, Division of Cardiology, Duke University, Durham, North Carolina, USA, unc.edu.
Gerald S BloomfieldDepartment of Medicine, Division of Cardiology, Duke University, Durham, North Carolina, USA, unc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute decompensated heart failure (ADHF) is a major cause of morbidity and mortality, with congestion being the primary reason for hospitalization. Despite treatment, many patients are discharged with residual congestion, hence the growing interest in utilizing biomarkers as objective tools to guide decongestion therapy. Carbohydrate Antigen 125 (CA125) has emerged as a promising biomarker of systemic congestion, with potential advantages over routine markers. This study evaluated the relationship between CA125 changes and clinical congestion score (CCS) at discharge and assessed its association with 30-day outcomes. Methods: This was a prospective cohort study conducted over seven months at Moi Teaching and Referral Hospital, a tertiary hospital in Western Kenya. Patients with ADHF were enrolled. CA125 levels were measured at admission and discharge using an automated immunoassay. In addition, other markers of congestion, i.e., CCS, NT-proBNP levels, body weight, and inferior vena cava (IVC) diameter, were assessed at both admission and discharge. The 30-day outcomes, which included all-cause mortality and heart failure (HF) rehospitalizations, were recorded. Statistical analyses included correlation and generalized linear models. Results: A total of 213 patients were included, with an in-hospital mortality rate of 23.5%. There was a significant correlation between changes in CA125 levels and improvements in CCS at discharge ( Conclusion: A reduction in CA125 levels during hospitalization is associated with better clinical decongestion and improved short-term outcomes.

Indexed as

acute decompensated heart failure (ADHF)carbohydrate antigen 125 (CA125)clinical congestion score (CCS)

Identifiers

PMID42502571
PMCPMC13401266

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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.