Evidence map›Paper›PMID 35937438›Full record

ReviewSeminars in plastic surgery2022

The Impact of the Syrian Civil War on One Department in an Israeli Hospital.

Omer I Sagi, Nissan Ohana, Richard Appel, Leonid Kogan

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in plastic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 80% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 2 countries.

Omer I SagiDepartment of Plastic Surgery, Galilee Medical Center, Nahariya, Israel.
Nissan OhanaDepartment of Plastic Surgery, Galilee Medical Center, Nahariya, Israel.
Richard AppelDivision of Plastic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas.
Leonid KoganDepartment of Plastic Surgery, Galilee Medical Center, Nahariya, Israel.
Bar-Ilan University · ILBaylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the Syrian civil war, Syrian refugees crossed the Israeli border to receive medical treatment. During this time, Galilee Medical Center (GMC) became the main center for multidisciplinary treatment of these war-wounded patients. This retrospective study compares the demographics of local Israeli and refugee Syrian patients, as well as the volume and types of procedures each group received over a 5-year period. From January 2013 to December 2017, 963 unique patients underwent 1,751 procedures in the GMC Plastic Surgery Department. Of these patients, 176 were Syrian-including 42 children-and 787 were Israeli. These groups underwent 393 and 1,358 procedures, respectively, for a procedure-per-patient ratio of 2.23 versus 1.72, respectively. On average, Syrian patients tended to be younger than Israeli patients (23.6 vs. 49.25 years), had longer median hospitalization time (50 vs. 8 days), longer median operative times (102 vs. 85 minutes), and higher incidence of infection with multidrug-resistant bacteria (52.2 vs. 5.8%). Further, Syrian patients had more trauma-related procedures, such as skin grafts, wound debridement, and microsurgery, than Israeli patients. Through this process, GMC's plastic surgery department gained unprecedented exposure to a variety of complex procedures.

Indexed as

civil warGalilee Medical Centerhealth care serviceplastic surgerySyrian war

Identifiers

PMID35937438
PMCPMC9352387
OpenAlexW4302041166

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.