Evidence map›Paper›PMID 36154498›Full record

ArticleHand (New York, N.Y.)2024

Traumatic Finger Amputations: Epidemiology and Mechanism of Injury, 2010-2019.

Kayleigh N Renfro, Michael D Eckhoff, Gilberto A Gonzalez Trevizo, John C Dunn

Abstract read
In one paragraph

Article in Hand (New York, N.Y.), 2024. 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

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.

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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.

Kayleigh N RenfroTexas Tech University Health Sciences Center, El Paso, USA.ORCID 0000-0002-7782-1144
Michael D EckhoffTexas Tech University Health Sciences Center, El Paso, USA.
Gilberto A Gonzalez TrevizoTexas Tech University Health Sciences Center, El Paso, USA.ORCID 0000-0002-1442-8468
John C DunnWilliam Beaumont Army Medical Center, El Paso, TX, USA.ORCID 0000-0002-2292-8227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraumatic finger amputations are a common and well-known hand injury, yet there are few studies addressing long-term epidemiologic data and associated mechanisms of injury. This paper aims to use a large national database to identify the relationship of patient demographics and mechanism of injury in finger amputations.

methodsThe National Electronic Injury Surveillance System (NEISS) was queried for finger amputations in the United States from 2010 to 2019. Patient demographic information was collected and analyzed by gender, race, age, and further statistical analysis was performed to determine correlations with consumer products.

resultsFinger amputations accounted for an estimated 234,304 emergency department visits from 2010 to 2019. Most of the patients were male (79%) and identified as white (46.2%). The most commonly implicated products overall were power saws and related power tools, followed by doors and then lawn mowers. A bimodal age incidence was observed with the highest incidence rates occurring in children ages 0 to 4, followed by a second peak incidence rate in the adults ages 65 to 74. The most common mechanisms of injury were found to differ in patients less than 19 and those 20 and over.

conclusionTraumatic finger amputations have a bimodal incidence with changing epidemiology and mechanism of injury with age. The first peak occurs from ages 0 to 4, involves predominantly doors, and has a male to female ratio of 1.30. The second peak occurs from ages 65 to 74, involves mostly power saws, and has a male to female ratio of 6.68. LEVEL OF EVIDENCE: Prognostic, Level IV.

Indexed as

Amputation, TraumaticFinger InjuriesHand InjuriesAdultAmputation, SurgicalChildFemaleFingersHumansMaleUnited Statesdigit traumafinger traumahand surgeryhand traumatraumatic amputation

Identifiers

PMID36154498
PMCPMC10953531

What OpenQuestion holds

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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.