Evidence map›Paper›PMID 25763195›Full record

ArticleIranian Red Crescent medical journal2014

A model for decision making for intensive care unit admission in source limited hospitals.

Behzad Maghsoudi, Seyed Hesamodin Tabei, Farid Zand, Hamidreza Tabatabaee, Armin Akbarzadeh

Abstract read
In one paragraph

Article in Iranian Red Crescent medical journal, 2014. 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
–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

2 citing papers in PubMed.

  1. Intensive care unit admission criteria: a scoping review.Journal of the Intensive Care Society · 2024
    Article
  2. 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.

Behzad MaghsoudiDepartment of Anesthesiology, Shiraz Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, IR Iran.
Seyed Hesamodin TabeiDepartment of Anesthesiology, Shiraz Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, IR Iran.
Farid ZandDepartment of Anesthesiology, Shiraz Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, IR Iran.
Hamidreza TabatabaeeDepartment of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, IR Iran.
Armin AkbarzadehStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, IR Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDemand for ICU beds is exceeding its supply. Since the sources are limited in some centers, it is necessary to design a model to identify the patients who benefit more from ICU beds.

objectivesThe present study aimed to develop a model to prioritize adult patients according to their clinical indications by a three rounded Delphi method study. PATIENTS AND

methodsIn this study, 22 physicians who practiced in a source limited hospital in southern Iran were invited to participate in a three phase Delphi survey.

resultsAt first, the panelists recommended 30 indications. The indications in the first checklist plus those obtained by literature review formed the second checklist which contained 36 items. The items were scored from 0 to 10 by the panelists. According to the scores, the indications were categorized into three priority levels, which were confirmed by the panelists in the third round.

conclusionsThis simple checklist contains the indications for ICU admission categorized into three priority levels. This checklist can be considered as a guide for physicians who practice in hospitals with limited number of ICU beds.

Indexed as

DelphiIntensive Care UnitPrioritizing

Identifiers

PMID25763195
PMCPMC4329754

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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.