Evidence map›Paper›PMID 41510517›Full record

ArticleProceedings (Baylor University. Medical Center)

Prognostic factors in prostatic leiomyosarcoma: a pooled analysis of 143 reported cases.

Saima Tisekar, Abdul Rehman Umer, Ragini Gopagoni, Muhammad Saad Khalid, Azalfa Malik, Aiman Baloch, Muhammad Alyas Akram, Faiza Khalid, Farhan Marsok, Muhammad Tanveer and 1 more

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center). The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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. 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

11 authors.

Saima TisekarDepartment of Medicine, University of Perpetual Help System DALTA, Las Pinas, Philippines.
Abdul Rehman UmerDepartment of Medicine, Islamic International Medical College, Rawalpindi, Pakistan.
Ragini GopagoniDepartment of Medicine, Malla Reddy Institute of Medical Sciences, Hyderabad, India.
Muhammad Saad KhalidDepartment of Medicine, Islamic International Medical College, Rawalpindi, Pakistan.
Azalfa MalikDepartment of Clinical Research, Foundation University Medical College, Islamabad, Pakistan.
Aiman BalochDepartment of Medicine, Khyber Medical University-Institute of Medical Sciences Kohat, Kohat, Pakistan.
Muhammad Alyas AkramDepartment of Medicine, Islamic International Medical College, Rawalpindi, Pakistan.
Faiza KhalidDepartment of Medicine, Sheikh Zayed Medical College, Rahim yar khan, Pakistan.
Farhan MarsokDepartment of Medicine, 4 SRM Medical College Hospital & Research Centre, Trichy, India.
Muhammad TanveerDepartment of Medicine, Lahore Medical and Dental College, Lahore, Pakistan.
Shafi RehmanDepartment of Histopathology, Institute of Pathology and Diagnostic Medicine, Khyber Medical University, Peshawar, Pakistan.ORCID https://orcid.org/0000-0002-7262-0300

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prostatic leiomyosarcoma is a rare and aggressive malignancy with limited prognostic data. We performed a pooled analysis of 143 cases from 82 published reports to identify key prognostic markers. Results: The median age at diagnosis was 57 years (interquartile range [IQR] 22.5 years), and the median tumor size was 8 cm (IQR 7 cm). Spindle cell morphology was the predominant histologic subtype, observed in 48.3% of cases, with 80.1% of tumors classified as high-grade. Metastasis was present in 37.2% of patients, recurrence was present in 25.9%, and the overall mortality rate was 57.2%. Kaplan-Meier survival analysis demonstrated significantly reduced survival in patients with metastasis (13 vs 32 months, Conclusion: Metastasis and tumor recurrence are key predictors of mortality in prostatic leiomyosarcoma.

Indexed as

Leiomyosarcomametastasisrecurrenceregression modelsurvival analysis

Identifiers

PMID41510517
PMCPMC12778878

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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.