Evidence map›Paper›PMID 42094947›Full record

ArticleFrontiers in medicine2026

Predicting long-term clinical mortality of elderly patients with vertebral compression fractures.

Shuofan Wang, Kaiwen Peng, Kaili Peng, Zhichao Gao

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. 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.

Shuofan WangDepartment of Orthopedics, The First People's Hospital of Linping District, Hangzhou, Zhejiang, China.
Kaiwen PengDepartment of Radiology, Liqun Hospital, Shanghai, China.
Kaili PengDepartment of Gastroenterology, The First People's Hospital of Linping District, Hangzhou, Zhejiang, China.
Zhichao GaoDepartment of Orthopedics, The First People's Hospital of Linping District, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vertebral compression fractures (VCFs) are prevalent among the elderly, often leading to significant complications and mortality. We aimed to develop and validate a predictive model for long-term mortality in patients with VCFs, utilizing a comprehensive dataset from a single-center retrospective study. A total of 440 patients aged 65 years and older, diagnosed with VCFs between 2017 and 2020, were included. The participants were divided into a training set (

Indexed as

elderlymachine learningmortalitySHAP (shapley additive explanations)vertebral compression fractures (VCFs)

Identifiers

PMID42094947
PMCPMC13138989

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.