Evidence map›Paper›PMID 34866822›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2021

Analysis of Blood Culture Data Influences Future Epidemiology of Bloodstream Infections: A 5-year Retrospective Study at a Tertiary Care Hospital in India.

Sharma Anuradha, Arghadip Samaddar, Anand Maurya, Vivek Hada, Himanshu Narula, Twishi Shrimali, Neeraj Gupta, Prawin Kumar, Kuldeep Singh, Vijaya Lakshmi Nag

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Catechin Augments the Antifungal Efficacy of Fluconazole AgainstInternational journal of molecular sciences · 2026
    Article
  2. Resistance to Azoles inJournal of fungi (Basel, Switzerland) · 2025
    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

10 authors at 1 institution in 1 country.

Sharma AnuradhaDepartment of Microbiology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Arghadip SamaddarDepartment of Microbiology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Anand MauryaDepartment of Microbiology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Vivek HadaDepartment of Microbiology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Himanshu NarulaDepartment of Microbiology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Twishi ShrimaliDepartment of Microbiology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Neeraj GuptaDepartment of Neonatology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Prawin KumarDepartment of Pediatrics, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Kuldeep SinghDepartment of Pediatrics, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Vijaya Lakshmi NagDepartment of Microbiology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
All India Institute of Medical Sciences Jodhpur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlood cultures are the most significant samples received in a microbiology laboratory. Good quality control of pre-analytic, analytic, and post-analytic stages can have a significant impact on patient outcomes. Here, we present the improvements brought about by reviewing blood culture data with clinicians at a tertiary care institute in India.

methodsFour-year blood culture data (phase I-February 2014-February 2018) were shared with clinicians in the clinical grand round. Several take-home messages were discussed in a quiz format, and a number of holistic quality control measures were implemented at different levels. Based on observable changes in blood culture reports, another dataset was analyzed and compared in phase II (April 2018-April 2019).

resultsIn phase II, the blood culture contamination rate improved from 6 to 2% along with four times reduction in ICU isolates and three times increased isolation of salmonellae and pneumococci. The development of resistance in

conclusionReviewing blood culture data with clinicians mutually helped us to improve the overall quality of blood culture reports. It had a major impact on epidemiological trends and thus, found to be superior to just sharing an antibiogram with the clinicians. HOW TO CITE THIS ARTICLE: Sharma A, Samaddar A, Maurya A, Hada V, Narula H, Shrimali T,

Indexed as

Blood cultureBloodstream infectionsCandida parapsilosisFluconazole resistancePneumococciSalmonellae

Identifiers

PMID34866822
PMCPMC8608638
OpenAlexW3208830733

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.