Evidence map›Paper›PMID 39790690›Full record

ArticleHCA healthcare journal of medicine2024

A Retrospective Data Analysis on Marine Animal Injuries at a Large, Multi-Site Medical System.

Anthony Shadiack, J Burton Banks

Abstract read
In one paragraph

Article in HCA healthcare journal of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Anthony ShadiackGrand Strand Medical Center, Myrtle Beach, SC.
J Burton BanksGrand Strand Medical Center, Myrtle Beach, SC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With increasing numbers of human-animal interactions, there has been an increase in animal-related injuries. While canine bites are the most commonly reported animal injury, little data exists in regard to the other classes of animals, particularly marine life. The last comprehensive report on injuries related to noncanine bites and stings seen in emergency departments (EDs) across the US was between 2011 and 2015. Methods: We performed a retrospective analysis from 2014-2019 on marine injuries from a large hospital network with over 180 hospitals, 100 freestanding EDs, and 170 urgent care centers to provide an update on the volume and greatest contributors to these types of injuries being treated in US hospital EDs. We used existing, de-identified data from HCA's EDW using Teradata SQL. All data were descriptive. Of the 4092 patients aged 18 and older included in this study; 2692 were male (65.8%) and 1400 were female (34.2%). Results: Of the total, 4010 (98.0%) patients were discharged home, 15 (0.4%) were admitted, 66 (1.6%) were classified as other, and 1 (0.02%) was referred to long-term care. The majority of injuries were caused by stingrays (1196, 29.23%), catfish (974, 23.8%), jellyfish (421, 10.3%), and other fish (541, 13.2%). The majority of injuries from all encounters occurred on the foot (1449, 35.4%) and hand (1181, 28.9%). The second and third quarters of each year were found to have the highest number of injuries (1290, 31.5% and 1742, 42.5%, respectively). Conclusion: Our results demonstrated that the majority of injuries were due to stingrays, jellyfish, and small fish, specifically catfish. As expected, the majority of injuries occurred on hands and feet. They occurred mostly during the summer.

Indexed as

envenomationfishjellyfishmarine animalsmarine bitesmarine injuriesmarine stingsnoncanine injuriesstingray

Identifiers

PMID39790690
PMCPMC11708931

What OpenQuestion holds

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Registered trials

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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.