Evidence map›Paper›PMID 42148034›Full record

ArticleProceedings (Baylor University. Medical Center)2026

Red cell distribution width to albumin ratio (RAR) as a predictor of clinical outcomes and in-hospital mortality in acute gastrointestinal bleeding: a retrospective analysis.

Azfar Niazi, Mohammad Aquib, Carol Singh, Vikash Kumar, Aalam Sohal, Dalbir Sandhu

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

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

6 authors.

Azfar NiaziDepartment of Internal Medicine, OSF Saint Joseph Medical Center, Bloomington, Illinois, USA.
Mohammad AquibDepartment of Internal Medicine, Kurnool Medical College, Kurnool, Andhra Pradesh, India.ORCID https://orcid.org/0009-0004-4519-7828
Carol SinghDepartment of Internal Medicine, Dayanand Medical College and Hospital, Ludhiana, Punjab, India.ORCID https://orcid.org/0009-0009-7889-2997
Vikash KumarDivision of Gastroenterology and Hepatology, Creighton University School of Medicine, Phoenix, Arizona, USA.
Aalam SohalDivision of Gastroenterology and Hepatology, Creighton University School of Medicine, Phoenix, Arizona, USA.ORCID https://orcid.org/0000-0001-8365-7240
Dalbir SandhuDivision of Gastroenterology and Hepatology, Creighton University School of Medicine, Phoenix, Arizona, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nutritional status and systemic inflammation drive outcomes in acute gastrointestinal bleeding. While albumin and red cell distribution width track these states individually, their combination, the red cell distribution width to albumin ratio (RAR), may offer superior prognostic value. Methods: Using the MIMIC-IV 3.1 database, 1508 adults admitted to the intensive care unit with gastrointestinal bleeding were analyzed. RAR was calculated and divided into quartiles. We assessed hospital, 28-day, and 1-year mortality using stepwise logistic regression, Cox proportional hazards models, and receiver operating characteristic analyses, adjusting for severity via Sequential Organ Failure Assessment and AIMS65 scores. Results: The highest RAR quartile was independently associated with hospital mortality (adjusted odds ratio = 1.54 vs Q1, Conclusion: The study suggests that RAR is a readily available marker that correlates with illness severity and is an independent predictor of mortality in acute gastrointestinal bleeding, even after accounting for chronic liver disease.

Indexed as

Erythrocyte IndicesGastrointestinal HemorrhageHospital MortalitySerum AlbuminAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesROC CurveSerum AlbuminAlbumingastrointestinal bleedingMIMIC-IVRARRDW

Identifiers

PMID42148034
PMCPMC13174836

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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.