Evidence map›Paper›PMID 41457776›Full record

SynthesisAnaesthesiology intensive therapy2025

Exploring Pandora's box: a review of thoracic compartment syndrome.

Michel Pérez-Garzón, Maria Rojas-Arrieta, Alejandro Quintero-Altare, Henry Robayo-Amortegui

Abstract readSystematic Review
In one paragraph

Synthesis in Anaesthesiology intensive therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Michel Pérez-GarzónDepartment of Intensive Care, Fundación Clínica Shaio, Bogota D.C., Colombia.
Maria Rojas-ArrietaDepartment of Medicine, Critical Care Resident, Universidad de La Sabana, Chía, Cundinamarca, Colombia.
Alejandro Quintero-AltareDepartment of Medicine, Critical Care Resident, Universidad de La Sabana, Chía, Cundinamarca, Colombia.
Henry Robayo-AmorteguiFacultad de Medicina, Doctorado en Ciencias Clínicas, Universidad de La Sabana, Chía, Cundinamarca, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compartment syndrome (CS) arises from increased pressure within a confined space, compromising organ function due to reduced blood flow and subsequent tissue hypo-xia and ischemia. Thoracic compartment syndrome (TCS), a subset of CS, occurs in diverse surgical and medical conditions, particularly cardiac surgery, chest trauma, and critical care scenarios, significantly contributing to morbidity and mortality. However, the absence of a standardized definition hinders timely diagnosis and treatment. This study systematically explores the clinical presentation, pathophysiology, and causes of TCS, aiming to establish a comprehensive definition to guide diagnosis and research. A multi-stage review process was employed. Two independent reviewers screened titles, abstracts, and full texts of studies identified through databases such as PubMed, Scopus, Embase, Google Scholar, and SpringerLink, complemented by gray literature searches in NTIS and EAGLE. Inclusion criteria focused on adult patients, excluding pediatric and obstetric populations. The search spanned all relevant studies published up to December 20, 2024. TCS remains under-recognized yet poses significant risks in critically ill patients. This article proposes a definition grounded in evidence and pathophysiological insights to aid diagnosis and future investigations into this life-threatening condition.

Indexed as

Compartment SyndromesThoraxCritical CareCritical IllnessHumansheart-lung interactionintensive careintrathoracic pressurethoracic compartment syndrome

Identifiers

PMID41457776
PMCPMC12793996

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.