Evidence map›Paper›PMID 28781479›Full record

ArticleJournal of natural science, biology, and medicine

The Role of Red Cell Distribution Width as a Predictor of Mortality for Critically Ill Patients in an Inner-city Hospital.

Syed Atif Safdar, Tejas Modi, Lakshmi Durga Sriramulu, Hamid Shaaban, Raymund Sison, Varun Modi, Marc Adelman, Gunwant Guron

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Article in Journal of natural science, biology, and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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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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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
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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

8 authors.

Syed Atif SafdarDepartment of Pulmonary Medicine and Critical Care Medicine, St. Michael's Medical Center, Newark, NJ, USA.
Tejas ModiDepartment of Internal Medicine, St. Michael's Medical Center, Newark, NJ, USA.
Lakshmi Durga SriramuluDepartment of Internal Medicine, St. Michael's Medical Center, Newark, NJ, USA.
Hamid ShaabanDepartment of Internal Medicine, St. Michael's Medical Center, Newark, NJ, USA.
Raymund SisonDepartment of Internal Medicine, St. Michael's Medical Center, Newark, NJ, USA.
Varun ModiDepartment of Internal Medicine, St. Michael's Medical Center, Newark, NJ, USA.
Marc AdelmanDepartment of Pulmonary Medicine and Critical Care Medicine, St. Michael's Medical Center, Newark, NJ, USA.
Gunwant GuronDepartment of Internal Medicine, St. Michael's Medical Center, Newark, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRed cell distribution width (RDW) is a measure of the variation in the red blood cell volume that is usually recorded as a part of the standard complete blood cell count. Recent studies have demonstrated the prognostic value of RDW in many different clinical settings. The objective of this research study is to investigate the independent association of RDW with 30-day mortality in Intensive Care Unit (ICU) patients.

methodsOne hundred and fifty-six patients admitted to the ICU of our hospital between July 2009 and June 2011 were included in our study. Out of 156 patients, 124 survived the hospital stay. The data on patient's demographics, interventions done in ICU, and their comorbidities were collected. Baseline variables and the RDW value were compared between survivors and nonsurvivors. The cutoff point for RDW used for the comparison was 15.75. Both univariable and multivariable analyses were done.

resultsIn the univariable analysis of the study between survivors and nonsurvivors, the median RDW was 17.20 for nonsurvivors, implying statistical significance (

conclusionIn critically ill ICU patients, RDW is an independent predictor of 30-day mortality. Taking into consideration the fact that RDW is routinely measured in complete blood count with no additional cost, this can serve as an "inexpensive prognostic marker" in critically ill patients.

Indexed as

Critical careinner citymortalityred cell distribution width

Identifiers

PMID28781479
PMCPMC5523520

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