Evidence map›Paper›PMID 40575239›Full record

ReviewCureus2025

Pelvic Fractures in Pregnancy: Multidisciplinary Management and Outcomes.

Kaan Sevgi, Steven Pliskow, Sinan Nazif Aran

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Kaan SevgiSchool of Medicine, Kansas City University of Medicine and Biosciences, Kansas City, USA.
Steven PliskowDepartment of Obstetrics and Gynecology, HCA Florida Palms West Hospital, West Palm Beach, USA.
Sinan Nazif AranDepartment of Family Medicine, Demiroglu Science University, Istanbul, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pelvic fractures during pregnancy, though rare, pose significant risks to maternal and fetal health, necessitating a multidisciplinary approach to management. These injuries are predominantly caused by high-energy trauma, such as motor vehicle accidents, and are associated with a high incidence of complications, including maternal hemorrhage, placental abruption, and preterm labor. Advances in diagnostic imaging, such as low-dose CT scans and MRIs, have improved diagnostic accuracy while minimizing fetal exposure to radiation. Similarly, biomechanically tailored surgical interventions and innovative treatment strategies, including minimally invasive fixation techniques, have enhanced maternal survival rates, reaching 95% when multidisciplinary care is implemented. Despite these advancements, challenges persist, particularly in resource-limited settings where disparities in access to care result in poorer outcomes. Ethical and medico-legal considerations further complicate management, emphasizing the importance of informed consent and balancing maternal autonomy with fetal well-being. This review highlights the critical role of public health initiatives, such as trauma prevention campaigns, and the need for innovation in diagnostics, therapeutics, and long-term care. Future research should prioritize addressing gaps in our understanding of long-term maternal and neonatal outcomes, particularly regarding reproductive health and quality of life. By integrating advanced technologies, fostering collaboration, and improving global access to care, clinicians can achieve optimal outcomes for both mother and child.

Indexed as

fetal healthmaternal healthmultidisciplinary managementpelvic fracturespregnancytrauma

Identifiers

PMID40575239
PMCPMC12199849

What OpenQuestion holds

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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.