Evidence map›Paper›PMID 37252583›Full record

ArticleCureus2023

Utility of Platelet Indices as a Predictive Marker in Sepsis: An Observational Study From North East India.

Dibya J Sharma, Suman Ganguly, Rakesh M, Akash Batta, Abhishek Paul Majumder

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Dibya J SharmaInternal Medicine, Gastroenterology, Silchar Medical College and Hospital, Silchar, IND.
Suman GangulyInternal Medicine, Silchar Medical College and Hospital, Silchar, IND.
Rakesh MInternal Medicine, Silchar Medical College and Hospital, Silchar, IND.
Akash BattaCardiology, Dayanand Medical College and Hospital, Ludhiana, IND.
Abhishek Paul MajumderCommunity Medicine, Lokmanya Tilak Municipal Medical College and General Hospital, Mumbai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Unraveling sepsis remains the holy grail of clinical medicine and the commonest cause of in-hospital mortality worldwide. Various newer biomarkers have emerged in recent years that aid in the diagnosis and prognostication of sepsis. However, the widespread use of these is limited by availability, cost, and long turnaround times. Considering the crucial role of hematological parameters in infectious conditions, the present study aimed to evaluate the association of various platelet indices with the severity and outcomes in patients diagnosed with sepsis. Methods This was a single-center, prospective, observational study comprising 100 consecutive patients who fulfilled the selection criteria in the emergency department of a tertiary care hospital from June 2021 to May 2022. All patients underwent history taking, physical examination, and necessary laboratory investigations, including complete blood counts, biochemistry panel, and radiographic and microbiological tests. A detailed assessment of various platelet indices (platelet count, mean platelet volume, and platelet distribution width) was performed, and its association with outcomes was derived. The Sequential Organ Failure Assessment (SOFA) score was recorded for all patients. Results The majority of the study population was male (52%) with a mean age of 48.05±19.27 years. Respiratory infection (38%) was the most common origin of sepsis followed by genitourinary infections in 27%. The mean platelet count on admission was 1.83±1.21 lakhs/mm

Indexed as

affordableinfection.mean platelet volumemortalityobservationalplatelet indicesprognosissepsissofa scorethrombocytopenia

Identifiers

PMID37252583
PMCPMC10210073

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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.