Evidence map›Paper›PMID 36631590›Full record

ArticleWorld journal of surgery2023

Perioperative Risk Assessment in Humanitarian Settings: A Scoping Review.

Hannah Wild, Barclay T Stewart, Christopher LeBoa, Teresa Jewell, Kajal Mehta, Sherry M Wren

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in World journal of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. SDMPH 10-year Anniversary Conference Modified Delphi Study.Disaster medicine and public health preparedness · 2024
    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

6 authors at 4 institutions in 1 country.

Hannah WildDepartment of Surgery, University of Washington, 1959 NE Pacific St., Seattle, WA, 98195, USA. hbwild@uw.edu.ORCID http://orcid.org/0000-0003-0974-0956
Barclay T StewartDepartment of Surgery, University of Washington, 1959 NE Pacific St., Seattle, WA, 98195, USA.
Christopher LeBoaDepartment of Environmental Health Sciences, University of California Berkeley, Berkeley, CA, USA.
Teresa JewellHealth Science Library, University of Washington, Seattle, WA, USA.
Kajal MehtaDepartment of Surgery, University of Washington, 1959 NE Pacific St., Seattle, WA, 98195, USA.
Sherry M WrenStanford University School of Medicine, Stanford, CA, USA.
Seattle Pacific University · USStanford University · USUniversity of California, Berkeley · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo validated perioperative risk assessment models currently exist for use in humanitarian settings. To inform the development of a perioperative mortality risk assessment model applicable to humanitarian settings, we conducted a scoping review of the literature to identify reports that described perioperative risk assessment in surgical care in humanitarian settings and LMICs.

methodsWe conducted a scoping review of the literature to identify records that described perioperative risk assessment in low-resource or humanitarian settings. Searches were conducted in databases including: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, Web of Science, World Health Organization Catalog, and Google Scholar.

resultsOur search identified 1582 records. After title/abstract and full text screening, 50 reports remained eligible for analysis in quantitative and qualitative synthesis. These reports presented data from over 37 countries from public, NGO, and military facilities. Data reporting was highly inconsistent: fewer than half of reports presented the indication for surgery; less than 25% of reports presented data on injury severity or prehospital data. Most elements of perioperative risk models designed for high-resource settings (e.g., vital signs, laboratory data, and medical comorbidities) were unavailable.

conclusionAt present, no perioperative mortality risk assessment model exists for use in humanitarian settings. Limitations in consistency and quality of data reporting are a primary barrier, however, can be addressed through data-driven identification of several key variables encompassed by a minimum dataset. The development of such a score is a critical step toward improving the quality of care provided to populations affected by conflict and protracted humanitarian crises.

Indexed as

Research DesignComorbidityHumansRisk Assessment

Identifiers

PMID36631590
OpenAlexW4315631499

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.