Evidence map›Paper›PMID 39537953›Full record

ArticleJournal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology2024

Novel perspectives on early diagnosis of acute compartment syndrome: the role of admission blood tests.

Tao Wang, Yubin Long, Qi Zhang

Abstract read
In one paragraph

Article in Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The predictive value of hematologic parameters for adverse clinical outcomes in Earthquake-Related trauma patients: A retrospective study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Article
  4. Observational
  5. Development and validation of a nomogram for predicting fasciotomy requirement in lower extremity arterial injuries: a retrospective case-control study.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2025
    Article
  6. 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

3 authors.

Tao WangDepartment of Lower Limb Trauma, Beijing Jishuitan Hospital, Guizhou Hospital, Baiyun District, Guiyang, Guizhou, China.
Yubin LongDepartment of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Qi ZhangDepartment of Anesthesiology, Hebei Children's Hospital, No133 Jianhua South Street, Shijiazhuang, Hebei, China. zhangqivictory@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe role of admission blood indicators in patients with acute compartment syndrome (ACS) remains debated. Our primary purpose was to observe variations of admission blood indicators in patients with ACS, while our secondary goal was to explore potential biomarkers related to ACS.

methodsWe collected information on patients with tibial fracture between January 2013 and July 2023, and divided them into ACS and non-ACS groups. Propensity score matching (PSM) analysis was performed to lower the impact of potential confounding variables such as demographics and comorbidities. Admission blood indicators were analyzed using univariate, logistic regression, and receiver operating characteristic (ROC) curve analyses. Then, we established a nomogram prediction model by using R language software.

resultsAfter propensity PSM analysis, 127 patients were included in each group. Although numerous blood indicators were found to be relevant to ACS on univariate analysis, logistic regression analysis showed that monocytes (MON, p = 0.015), systemic immune-inflammation index (SII, p = 0.011), and creatine kinase myocardial band (CKMB, p < 0.0001) were risk factors for ACS. Furthermore, ROC curve analysis identified 0.79 × 10

conclusionsWe found that the levels of MON, SII, and CKMB were related to ACS and may be potential biomarkers. We also identified their cut-off values to separate patients with ACS from those with tibial fracture, helping orthopedists promptly evaluate and take early measures. We established a nomogram prediction model that can efficiently predict ACS in patients with tibial fracture.

Indexed as

BiomarkersCompartment SyndromesEarly DiagnosisNomogramsTibial FracturesAcute DiseaseAdultAgedCreatine Kinase, MB FormFemaleHematologic TestsHumansLogistic ModelsMaleMiddle AgedPropensity ScoreBiomarkersCreatine Kinase, MB FormAcute compartment syndromeComplete blood countDerived inflammatory indicatorsNomogram prediction modelPropensity score matchingTibial fractures

Identifiers

PMID39537953
PMCPMC11561211

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.