Evidence map›Paper›PMID 42591526›Full record

ArticleCureus2026

Clinical and Biochemical Determinants of Acute Kidney Injury in Acute Decompensated Heart Failure: A Prospective Observational Study From a Tertiary Care Centre in North India.

Manan Gupta, Sunita Gupta, Harmanjeet Singh Dhillon

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Manan GuptaGeneral Medicine, Maharishi Markandeshwar University of Medical Sciences and Research, Ambala, IND.
Sunita GuptaGeneral Medicine, Maharishi Markandeshwar University of Medical Sciences and Research, Ambala, IND.
Harmanjeet Singh DhillonGeneral Medicine, Maharishi Markandeshwar University of Medical Sciences and Research, Ambala, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Cardiorenal syndrome type 1 (CRS-1), manifesting as acute kidney injury (AKI) during episodes of acute decompensated heart failure (ADHF), constitutes a clinically significant complication with independent adverse effects on both short- and long-term patient outcomes. Delineating the clinical, echocardiographic, and biochemical factors predisposing to this complication is foundational to risk-guided cardiorenal management. Prospective regional data from the Indian subcontinent addressing this clinical question remain insufficient. Materials and methods A prospective observational investigation enrolled 100 sequential adults who met the 2021 European Society of Cardiology (ESC) criteria for ADHF and were admitted to the Intensive Cardiac Care Unit and Medical ICU at Maharishi Markandeshwar University of Medical Sciences and Research (MMIMSR), Ambala, Haryana, India. AKI was ascertained using the Kidney Disease: Improving Global Outcomes (KDIGO) 2012 serum creatinine thresholds after exclusion of competing aetiologies. Comorbid diagnoses, echocardiographic indices (Left Ventricular Ejection Fraction (LVEF), phenotypic classification), and admission biochemistry including serum sodium and N-terminal pro-B-type natriuretic peptide (NT-proBNP) were prospectively documented. Associations between different variables and AKI were evaluated using Chi-square analysis, independent-samples t-test or Mann-Whitney

Indexed as

acute decompensated heart failure (adhf): acute kidney injurycardio renal syndromehfref: heart failure with reduced ejection fractionnt-probnp (n terminal-pro-b-type natriuretic peptide)

Identifiers

PMID42591526
PMCPMC13461872

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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.