Evidence map›Paper›PMID 28989412›Full record

ArticleJournal of infection prevention2015

Epidemiology and outcomes of

Nonika Rajkumari, Purva Mathur, Amit K Gupta, Kumkum Sharma, Mahesh C Misra

Abstract read
In one paragraph

Article in Journal of infection prevention, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 90% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Multicenter epidemiology ofFrontiers in microbiology · 2025
    Article
  4. Article
  5. Article
  6. Microorganisms · 2022
    Article
  7. Antimicrobial susceptibility pattern ofThe Indian journal of medical research · 2020
    Article
  8. Article
  9. Article
  10. Epidemiological Trends and Resistance Associated withDiseases (Basel, Switzerland) · 2019
    Article
  11. Prevalence and Antibiotic Resistance ofHealth services research and managerial epidemiology
    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

5 authors at 1 institution in 1 country.

Nonika RajkumariDepartment of Laboratory Medicine (Microbiology Division), Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Purva MathurDepartment of Laboratory Medicine, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, India.
Amit K GuptaHospital Infection Control Unit, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Kumkum SharmaHospital Infection Control Unit, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Mahesh C MisraDepartment of Surgery, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfections by uncommon non-fermenting Gram negative bacteria are on the rise, but little is known about the risk factors and drug resistance in trauma patients in India. This study explored the infections caused by MATERIAL AND

methodsPatients admitted for trauma care with

resultsOf the total 233 isolates, 102 were

conclusionThe analysis of epidemiology and outcome of these infections will help to inform their management and treatment.

Indexed as

Bacteriaepidemologyinfectioninfection prevention and controlsurveillance

Identifiers

PMID28989412
PMCPMC5074113
OpenAlexW2150694933

What OpenQuestion holds

Textmetadata
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.