Evidence map›Paper›PMID 37416032›Full record

ArticleCureus2023

Evidence-Based Interventions to Reduce the Incidence of Common Multidrug-Resistant Gram-Negative Bacteria in an Adult Intensive Care Unit.

Abdulhakeem Althaqafi, Muhammad Yaseen, Fayssal Farahat, Adeeb Munshi, Fahad M Al-Hameed, Majid M Alshamrani, Asim Alsaedi, Abdulfattah Al-Amri, Hafizah Chenia, Sabiha Y Essack

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
  2. Article
  3. Article
  4. 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.

Abdulhakeem AlthaqafiCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Jeddah, SAU.
Muhammad YaseenInfection Prevention and Control, Bradford Teaching Hospitals National Health Service (NHS) Foundation Trust, Bradford, GBR.
Fayssal FarahatPublic Health and Community Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Adeeb MunshiCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Jeddah, SAU.
Fahad M Al-HameedCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Jeddah, SAU.
Majid M AlshamraniCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Asim AlsaediCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Jeddah, SAU.
Abdulfattah Al-AmriCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Jeddah, SAU.
Hafizah CheniaMicrobiology, Discipline of Microbiology, School of Life Sciences, College of Agriculture, Engineering and Sciences, University of Kwazulu-Natal, Durban, ZAF.
Sabiha Y EssackAntimicrobial Research Unit, University of Kwazulu-Natal, Durban, ZAF.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Multidrug-resistant Gram-negative bacteria (MDR-GNB) present a significant and escalating hazard to healthcare globally. Context-specific interventions have been implemented for the prevention and control of MDR-GNB in several healthcare facilities. The objective of this study was to implement and evaluate the effectiveness of evidence-based interventions in the incidence and dissemination of MDR-GNB. Methods This was a pre-and post-intervention study conducted in three phases at King Abdulaziz Medical City Jeddah, Saudi Arabia. During Phase-1, the data on each of the four MDR-GNB (

Indexed as

gram-negative bacteriaincidenceintensive care unitinterventionsmultidrug-resistantsaudi arabia

Identifiers

PMID37416032
PMCPMC10321211

What OpenQuestion holds

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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.