Evidence map›Paper›PMID 38155951›Full record

ArticleFrontiers in endocrinology2023

Traumatic rib fracture patterns associated with bone mineral density statuses derived from CT images.

Yilin Tang, Wei Hong, Xinxin Xu, Ming Li, Liang Jin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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, 11 citations in OpenAlex.

  1. Three-year emergency department analysis of clavicle fractures: Age- and sex-dependent patterns and associated injuries.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
    Observational
  2. Article
  3. Review
  4. Article
  5. Article
  6. Rib and Sternum Fractures From Falls: Global Burden of Disease and Predictions.Biomedical engineering and computational biology · 2025
    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

5 authors at 2 institutions in 1 country.

Yilin Tang *Radiology Department, Huadong Hospital, Affiliated with Fudan University, Shanghai, China.
Wei Hong *Department of Geriatrics and Gerontology, Huadong Hospital, Affiliated with Fudan University, Shanghai, China.
Xinxin XuClinical Research Center for Geriatric Medicine, Huadong Hospital, Affiliated with Fudan University, Shanghai, China.
Ming LiRadiology Department, Huadong Hospital, Affiliated with Fudan University, Shanghai, China.
Liang JinRadiology Department, Huadong Hospital, Affiliated with Fudan University, Shanghai, China.
Fudan University · CNHuadong Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of decreased bone mineral density (BMD) on traumatic rib fractures remains unknown. We combined computed tomography (CT) and artificial intelligence (AI) to measure BMD and explore its impact on traumatic rib fractures and their patterns. Methods: The retrospective cohort comprised patients who visited our hospital from 2017-2018; the prospective cohort (control group) was consecutively recruited from the same hospital from February-June 2023. All patients had blunt chest trauma and underwent CT. Volumetric BMD of L1 vertebra was measured by using an AI software. Analyses were done by using BMD categorized as osteoporosis (<80 mg/cm3), osteopenia (80-120 mg/cm3), or normal (>120 mg/cm3). Pearson's χ2, Fisher's exact, or Kruskal-Wallis tests and Bonferroni correction were used for comparisons. Negative binomial, and logistic regression analyses were used to assess the associations and impacts of BMD status. Sensitivity analyses were also performed. Findings: The retrospective cohort included 2,076 eligible patients, of whom 954 (46%) had normal BMD, 806 (38.8%) had osteopenia, and 316 (15.2%) had osteoporosis. After sex- and age-adjustment, osteoporosis was significantly associated with higher rib fracture rates, and a higher likelihood of fractures in ribs 4-7. Furthermore, both the osteopenia and osteoporosis groups demonstrated a significantly higher number of fractured ribs and fracture sites on ribs, with a higher likelihood of fractures in ribs 1-3, as well as flail chest. The prospective cohort included 205 eligible patients, of whom 92 (44.9%) had normal BMD, 74 (36.1%) had osteopenia, and 39 (19.0%) had osteoporosis. The findings observed within this cohort were in concurrence with those in the retrospective cohort. Interpretation: Traumatic rib fractures are associated with decreased BMD. CT-AI can help to identify individuals who have decreased BMD and a greater rib fracture rate, along with their fracture patterns.

Indexed as

OsteoporosisRib FracturesThoracic InjuriesWounds, NonpenetratingArtificial IntelligenceBone DensityHumansProspective StudiesRetrospective StudiesRibsTomography, X-Ray Computedartificial intelligencebone mineral densitycomputed x-ray tomographyfracture risk assessmentrib fractures

Identifiers

PMID38155951
PMCPMC10754511
OpenAlexW4389615102

What OpenQuestion holds

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LicenceCC BY
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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.