Evidence map›Paper›PMID 33948543›Full record

ArticleTurkish journal of physical medicine and rehabilitation2021

Incidence and demographic characteristics of Syrian Civil War-related amputations: A multi-center study.

Yaşar Tatar, Nilüfer Kablan, Mevlit Yurtseven

Open access · diamondAbstract read
In one paragraph

Article in Turkish journal of physical medicine and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact, top 94% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. The Burden of Lower Limb Deformities in Low- and Lower-Middle-Income Countries: A Scoping Review.Journal of the Pediatric Orthopaedic Society of North America · 2026
    Review
  3. Observational
  4. Article
  5. 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.

Yaşar TatarDepartment of Sports-Health, Marmara University, Faculty of Sport Sciences, Istanbul, Turkey.
Nilüfer KablanDepartment of Physiotherapy and Rehabilitation, Health Sciences University, Faculty of Health Sciences, Istanbul, Turkey.
Mevlit YurtsevenIstanbul Leprosy, Skin and Venereal Diseases Hospital, Istanbul, Turkey.
Marmara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to identify the causes, levels, and rates of amputations performed in civilians during the Syrian Civil War and to present epidemiological data of the amputees. PATIENTS AND

methodsBetween August 2017 and February 2019, a total of 363 amputations of 307 amputees (266 males, 41 females; mean age 29.9±13.3 years; range, 6 to 86 years) were retrospectively analyzed in four prosthesis and orthosis centers managed by an international non-governmental organization and serving to individuals who experienced amputation during Syrian Civil War. Level, etiology, number of amputations and distribution of the amputations by years were investigated.

resultsOf the patients, 25.4% were under the age of 18 years. A total of 74% of all amputations were of the lower extremities. Transtibial and transfemoral amputations were the most common amputation levels. Of the amputees, 89.3% reported the cause of amputation as bombing.

conclusionCivil amputations during the Syrian Civil War are different from those in other civil wars due to the high rate of bombing-induced amputations and also the high rate of victims under the age of 18 years. Our study results show a high ratio of both lower and upper extremity amputations in these civilians.

Indexed as

AmputationbombingSyrian Civil War

Identifiers

PMID33948543
PMCPMC8088804
OpenAlexW3156329300

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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.