Evidence map›Paper›PMID 37048601›Full record

ArticleJournal of clinical medicine2023

Surgical Treatment Outcomes of Gynecologic Cancer in Older Patients: A Retrospective Study.

Kyeong A So, Seung-Hyuk Shim, Sun Joo Lee, Tae Jin Kim

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Kyeong A SoDepartment of Obstetrics and Gynecology, KonKuk University Hospital, Konkuk University School of Medicine, Seoul 05030, Republic of Korea.
Seung-Hyuk ShimDepartment of Obstetrics and Gynecology, KonKuk University Hospital, Konkuk University School of Medicine, Seoul 05030, Republic of Korea.
Sun Joo LeeDepartment of Obstetrics and Gynecology, KonKuk University Hospital, Konkuk University School of Medicine, Seoul 05030, Republic of Korea.
Tae Jin KimDepartment of Obstetrics and Gynecology, KonKuk University Hospital, Konkuk University School of Medicine, Seoul 05030, Republic of Korea.

Funding

Konkuk University
6 · The paper itself

Abstract

This study aimed to evaluate oncologic characteristics and surgical outcomes in older patients with gynecologic cancers. This retrospective study included patients aged ≥65 years who were diagnosed with gynecologic cancers and underwent surgical treatment between 2005 and 2020. We reviewed the medical records for age at diagnosis, body mass index, American Society of Anesthesiologists score, comorbidities, postoperative complications, cancer stage, histologic type, surgical treatment, postoperative outcome, and survival rate. Data were compared between groups according to the age at the time of diagnosis: <75 years (young-old) and ≥75 years (old-old). In total, 131 patients were identified: 53 (40.5%) with ovarian or primary peritoneal cancer (OC), 44 (33.6%) with endometrial cancer (EC), 30 (22.9%) with cervical cancer, and 4 (3.1%) with leiomyosarcoma. The patients' mean age was 70 (range, 65-83) years; 106 (80.9%) were young-old and 25 (19.1%) were old-old. Postoperative complications occurred in 19 (14.5%) patients. Four patients died within six months after surgery, and three died because of disease progression. There was no difference in the survival rates between the two groups among those with OC and EC. Older patients with gynecologic cancers showed good surgical outcomes and tolerable postoperative complications. Therefore, we can safely offer surgical treatment to older patients.

Indexed as

cancergeriatric oncologygynecologic cancersurgical treatment

Identifiers

PMID37048601
PMCPMC10094859

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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.