Evidence map›Paper›PMID 34330987›Full record

ArticleScientific reports2021

Factors influencing the injury severity score and the probability of survival in patients who fell from height.

Masashi Fujii, Tsutomu Shirakawa, Mami Nakamura, Mineko Baba, Masahito Hitosugi

Abstract read
In one paragraph

Article in Scientific reports, 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
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

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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.

  1. Article
  2. [Prehospital factors influencing patients' injury severity score who fell from height].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2024
    Article
  3. Article
  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

5 authors.

Masashi FujiiDepartment of Anaesthesia, Nagahama Red Cross Hospital, 14-7 Miyamae, Nagahama, Otsu, Shiga, 526-8585, Japan. manutarou@yahoo.co.jp.
Tsutomu ShirakawaDepartment of Orthopaedic Surgery, Nagahama Red Cross Hospital, Nagahama, Shiga, Japan.
Mami NakamuraDepartment of Legal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Mineko BabaCentre for Integrated Medical Research, Keio University School of Medicine, Tokyo, Japan.
Masahito HitosugiDepartment of Legal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Japan, falls from height result in the second highest trauma mortality rate after traffic motor vehicle collisions and the highest trauma-related mortality rate amongst young people. We aimed to identify factors that worsen injury severity and lower survival probability of patients who fell from height and to contribute to the improvement of their prehospital and in-hospital care. This retrospective analysis retrieved hospital records of 179 patients aged ≥ 15 years who were transported to our hospital after a fall from height during April 2014-March 2020. On multiple regression analysis, fall height ≥ 5 m more significantly resulted in higher the injury severity score. Logistic regression analysis revealed that fall height ≥ 5 m with the reference of 2-3 m significantly resulted in lower the survival probability with odds ratio (95% confidence interval) of 0.10 (0.02-0.55). Using 'feet-first' as the reference body position, the odds ratios (95% confidence interval) of survival for those who impacted the surface on the lateral or dorsal regions were 0.11 (0.02-0.64) and 0.17 (0.03-0.99), respectively. Collecting information on the abovementioned factors at pre-hospitalisation may facilitate prompt diagnosis and treatment. These results may help improve prehospital and in-hospital care, avoiding preventable trauma deaths.

Indexed as

Accidental FallsAdultAgedFemaleHumansInjury Severity ScoreLogistic ModelsMaleMiddle AgedOdds RatioRetrospective Studies

Identifiers

PMID34330987
PMCPMC8324820

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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.