Evidence map›Paper›PMID 35141523›Full record

ArticleClinical pathology (Thousand Oaks, Ventura County, Calif.)

Red Cell Distribution Width as a Predictor of Mortality in Patients With Clinical Sepsis: Experience From a Single Rural Center in Central India.

Kavita Jain, Darshita Sharma, Mala Patidar, Shirish Nandedkar, Ashish Pathak, Manju Purohit

Open access · goldAbstract read
In one paragraph

Article in Clinical pathology (Thousand Oaks, Ventura County, Calif.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 at 2 institutions in 2 countries.

Kavita JainDepartment of Pathology, R.D. Gardi Medical College, Ujjain, India.ORCID https://orcid.org/0000-0002-2024-9861
Darshita SharmaDepartment of Pathology, R.D. Gardi Medical College, Ujjain, India.
Mala PatidarDepartment of Pathology, R.D. Gardi Medical College, Ujjain, India.
Shirish NandedkarDepartment of Pathology, R.D. Gardi Medical College, Ujjain, India.
Ashish PathakDepartment of Paediatrics, R.D. Gardi Medical College, Ujjain, India.
Manju PurohitDepartment of Pathology, R.D. Gardi Medical College, Ujjain, India.ORCID https://orcid.org/0000-0001-5385-7305
Ruxmaniben Deepchand Gardi Medical College · INKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEarly diagnosis of sepsis and its severity is essential for appropriate treatment to improve patient survival, especially in resource-limited settings. The aim of the present study was to study the role of red blood cell distribution (RDW) as a biomarker for the early detection of severe sepsis defined clinically and also in the prediction of mortality from sepsis.

methodsThe cross-sectional study included a total of 175 subjects who met the inclusion criteria for the diagnosis of severe sepsis. After a thorough clinical examination, blood samples were taken from all patients within 3 hours of presenting the disease. The RDW values and other investigations were studied on the day of admission compared to other severity markers with the mortality index of 30 days.

resultThe RDW value was significantly higher in patients with severe sepsis and in non-survivor patients than in survivors (

conclusionsRDW can be used as a potential marker for the early detection of severe sepsis and in the prediction of the outcome. Large multicenter prospective studies can confirm the utility of this routinely available marker for patients with sepsis.

Indexed as

IndiaRDWSepsisSOFA score

Identifiers

PMID35141523
PMCPMC8819754
OpenAlexW4210730217

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.