Evidence map›Paper›PMID 30111925›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2018

Resurgence of Global Opportunistic Multidrug-resistant

Pradheer Gupta, Pratibha Kale, Vikas Khillan

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, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Multicenter epidemiology ofFrontiers in microbiology · 2025
    Article
  4. Risk Factors and Clinical Outcomes ofIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  5. Article
  6. IDCases · 2021
    Article
  7. 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

3 authors at 1 institution in 1 country.

Pradheer GuptaDepartment of Clinical Microbiology, Institute of Liver and Biliary Sciences, New Delhi, India.
Pratibha KaleDepartment of Clinical Microbiology, Institute of Liver and Biliary Sciences, New Delhi, India.
Vikas KhillanDepartment of Clinical Microbiology, Institute of Liver and Biliary Sciences, New Delhi, India.
Institute of Liver and Biliary Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

context

aimTo determine the incidence of SETTINGS AND

designOne-year retrospective study was done at a tertiary liver care center.

methodsPatients with STATISTICAL ANALYSIS: Continuous data were compared using Kruskal-Wallis test/Mann-Whitney test. The categorical data were compared by Chi-square/Fisher's exact test, wherever necessary. Besides this, an appropriate analysis like survival was carried out at the time of data analysis.

resultsOne hundred isolates were obtained from eighty patients of six wards. The greatest number (44/100, 44%) were from the Liver Coma Intensive Care Unit and the lowest (3/100) from the day care. Isolation from the respiratory samples was 1.32% and bloodstream infection 0.6%. Of 100 isolates, 12 (12%) were resistant to both trimethoprim-sulfamethoxazole and levofloxacin.

conclusion

Indexed as

Clinical sampleenvironmental surveillanceStenotrophomonas maltophilia

Identifiers

PMID30111925
PMCPMC6069309
OpenAlexW2883288386

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.