Evidence map›Paper›PMID 41053562›Full record

ArticleInternational journal of emergency medicine2025

Clinical characteristics and mortality risk factors in polytrauma patients with pelvic fractures: a retrospective study based on an integrated multidisciplinary treatment approach.

Haixiang Ding, Wenwen Wang, Wei Sun, Li Liu, Ming Huang, Dong Han, Yaozhong Lu, Jianhong Zhou, Jingshi Pan

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07624942 (Comparing the Efficacy and Safety of Robot Assisted Treatment Versus Conventional Surgery in Patients With Tile B and C Pelvic Fractures), which is not on this 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.

NCT07624942 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Comparing the Efficacy and Safety of Robot Assisted Treatment Versus Conventional Surgery in Patients With Tile B and C Pelvic Fractures

TypeinterventionalSponsorJunbo LiangRan2026 to 2028Enrolled88ConditionsPelvic FractureArmsRobot Assisted Minimally Invasive Fixation
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

9 authors.

Haixiang DingDepartment of Trauma Surgery, Affiliated Hospital of Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu Province, 214000, China.
Wenwen WangDepartment of Pharmacy, Wuxi Health Vocational College, Wuxi, Jiangsu, 214000, China.
Wei SunEmergency Department, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, 214000, China.
Li LiuCenter for Artificial Intelligence and Big Data, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, 214000, China.
Ming HuangDepartment of Emergency Intensive Care Unit, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, 214000, China.
Dong HanEmergency Department, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, 214000, China.
Yaozhong LuDepartment of Trauma Surgery, Affiliated Hospital of Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu Province, 214000, China.
Jianhong ZhouDepartment of Trauma Surgery, Affiliated Hospital of Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu Province, 214000, China.
Jingshi PanDepartment of Trauma Surgery, Affiliated Hospital of Jiangnan University, 1000 Hefeng Road, Wuxi, Jiangsu Province, 214000, China. jingshipan001@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePelvic fractures in polytrauma patients represent complex injuries associated with substantial mortality rates. This study examined clinical characteristics, multidisciplinary collaborative management approaches, and mortality risk factors in these patients to establish clinical references for optimizing comprehensive treatment strategies.

methodsWe retrospectively analyzed clinical data from 32 polytrauma patients with pelvic fractures managed under an integrated multidisciplinary treatment protocol in our trauma center's Emergency Intensive Care Unit (EICU). This protocol incorporated expedited prehospital transport, trauma team activation before patient arrival, "resuscitation in the operating room" strategy, and collaborative intervention from emergency surgery, trauma surgery, interventional radiology, and EICU teams. We collected patient demographics, injury characteristics, therapeutic interventions, and outcome data. Univariate and correlation analyses were employed to identify mortality risk factors.

resultsThe study cohort (n = 32) had a mean age of 51.2 ± 18.3 years, with female predominance (62.5%). Motor vehicle accidents constituted the primary injury mechanism (75.0%). Thoracic injuries were the most prevalent concomitant injuries (87.5%). Under the multidisciplinary collaborative approach, 37.5% of patients underwent early external pelvic fixation, and 6.3% received transcatheter arterial embolization (TAE). Surgical interventions significantly reduced pain scores (p < 0.001). The overall mortality rate was 9.4% (3/32). Correlation analysis demonstrated a negative association between mortality and Glasgow Coma Scale (GCS) scores (-0.710) and a positive correlation with Injury Severity Score (ISS) (0.547).

conclusionPolytrauma with pelvic fractures carries substantial mortality risk. Initial GCS scores and ISS were identified as independent mortality risk factors. Optimization of integrated multidisciplinary treatment protocols with early identification of mortality risk factors and timely interventions appears essential for reducing mortality in this complex patient population.

Indexed as

External pelvic fixationMortality risk factorsMultidisciplinary collaborative approachPolytrauma with pelvic fractureTranscatheter arterial embolization

Identifiers

PMID41053562
PMCPMC12502601

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.