Evidence map›Paper›PMID 41631182›Full record

ArticleSurgery in practice and science2026

Pressure trends and diagnosis of acute compartment syndrome.

Yasser Bouklouch, Justin Matta, William T Obremskey, Ross Leighton, Mitchell Bernstein, Edward J Harvey

Abstract read
In one paragraph

Article in Surgery in practice and science, 2026. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Yasser BouklouchFaculty of Medicine and Health Sciences, McGill University.
Justin MattaFaculty of Medicine and Health Sciences, McGill University.
William T ObremskeyVanderbilt University Medical Center.
Ross LeightonDivision of Orthopaedic Surgery, Dalhousie University.
Mitchell BernsteinFaculty of Medicine and Health Sciences, McGill University.
Edward J HarveyFaculty of Medicine and Health Sciences, McGill University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Acute compartment syndrome (ACS) is a serious condition resulting from increased intracompartmental pressure (ICP) within a closed muscle compartment. There is a lack of understanding of continuous pressure trends despite being an accepted method for tracking disease. It was hypothesized that trends in pressure would determine risk of ACS. Methods: This is a retrospective review of collected data from two prospective cohort trials. Anonymized ICP pressures from 147 trauma patients with extremity fractures were gathered. Patient data from multicenter level one trauma academic hospitals was analyzed. Data was taken from trauma patients that received a continuous real-time pressure device. Statistical and observational analysis were carried out to examine trends in patients with and without resultant acute compartment syndrome. Results: Patients that developed ACS did not always have significantly higher absolute ICPs that exceed the theoretical critical 30 mmHg threshold for fasciotomy. Patients with ACS showed a consistent upward trend over time (average increase of 0.674 mmHg per hour). In contrast, non-ACS patients, even those that exceeded the previous postulated 30mmHg threshold, exhibit a natural and gradual decline in ICP over time (average decline of 0.285 mmHg per hour). Conclusions: This research highlights the limitations of single-point pressure measurements and underscores the benefits of continuous ICP monitoring for timely ACS diagnosis. Continuous pressure data enables better clinical decision-making, reducing the risk of both unnecessary and delayed fasciotomies. This study emphasizes the need for integrating continuous pressure monitoring into standard practice to improve the management and outcomes of patients at risk for ACS.

Indexed as

Compartment syndromeDiagnosisMEMS technologyPressure trends

Identifiers

PMID41631182
PMCPMC12860628

What OpenQuestion holds

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LicenceCC BY-NC
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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.