Evidence map›Paper›PMID 40918152›Full record

ArticleOpen medicine (Warsaw, Poland)2025

Risk and prognosis for brain metastasis in primary metastatic cervical cancer patients: A population-based study.

Jiao Wu, Qing Xu, Huixia Huang, Yangyang Pang, Haoran Li, Xi Cheng

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Jiao WuDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Qing XuDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Huixia HuangDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Yangyang PangDepartment of Urology, Shanghai Xuhui Central Hospital, Shanghai, China.
Haoran LiDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, China.
Xi ChengDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to evaluate the risk and prognostic factors of stage IVB cervical cancer with brain metastasis from a population-based database, the Surveillance, Epidemiology and End Results (SEER). Patients and methods: Cervical cancer patients initially diagnosed with brain metastasis between 2010 and 2019 were included in this study. The risk factors of developing brain metastasis were evaluated by logistic regression model with corresponding 95% confidence interval (95% CI). Survival analysis was performed through the Kaplan-Meier method, log-rank test, and Cox proportional hazards model. Results: A total of 88 (88/25,476, 0.35%) cervical cancer patients initially diagnosed with brain metastasis between 2010 and 2019 were retrieved. Accompanied with lung, bone, or liver metastasis (all Conclusion: In conclusion, the prognosis of stage IVB cervical cancer patients with brain metastasis remains poor. Chemoradiotherapy may provide survival benefits, which deserves large-scale prospective clinical trials to confirm.

Indexed as

brain metastasisoverall survivalprimary metastatic cervical cancerrisk factors

Identifiers

PMID40918152
PMCPMC12413784

What Socratic 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 Socratic graph.