Evidence map›Paper›PMID 37251438›Full record

ArticleTrauma case reports2023

Immediate identification and management of an open posterior knee dislocation: Important lessons from a case report.

Diana Martinez-Urrea, Aaron Bencomo, Elaine Song, Yashendra Sethi, Inderbir Padda, Samuel Casas-Espinosa, Matthew Fulton

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Trauma case reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

7 authors at 3 institutions in 3 countries.

Diana Martinez-UrreaUniversidad de Monterrey, Department of Trauma, Monterrey, Mexico.
Aaron BencomoUniversidad de Monterrey, Department of Trauma, Monterrey, Mexico.
Elaine SongUniversidad de Monterrey, Department of Trauma, Monterrey, Mexico.
Yashendra SethiGovernment Doon Medical College, Department of Medicine and Surgery, Dehradun, India.
Inderbir PaddaRichmond University Medical Center, Department of Medicine, New York City, NY, United States of America.
Samuel Casas-EspinosaUniversidad de Monterrey, Department of Trauma, Monterrey, Mexico.
Matthew FultonUniversidad de Monterrey, Department of Trauma, Monterrey, Mexico.
University of Monterrey · MXDoon University · INRichmond University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic knee dislocation represents a rare event, contributing to less than 0.02 % of all orthopedic trauma and 0.05 % of joint dislocations, respectively. It is critically important to recognize, identify, and appropriately manage such cases as 'time' is implicated as an outcome-determining factor. Thus, such cases warrant quick consideration and appropriate management to mitigate the possibility of neurovascular damage and long-term sequelae. We report a case of a 59-year-old man struck by a motor vehicle in a remote rural community in northern Mexico managed with external fixation 16 h after the initial trauma, and later resulting in a supracondylar amputation. The authors of this case report underline the importance of timely intervention strategies when faced with such cases of knee dislocation and promote enhanced training of peripheral trauma-care providers to help improve patient outcomes.

Indexed as

External fixatorMulti-ligament ruptureOpen fracturePosterior knee dislocationVascular injury

Identifiers

PMID37251438
PMCPMC10209321
OpenAlexW4376644832

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.