Evidence map›Paper›PMID 36117821›Full record

ArticleFrontiers in surgery2022

Management of borderline ovarian tumors: A tertiary referral center experience in Egypt.

Khaled Gaballa, Mohamed Abdelkhalek, Adel Fathi, Basel Refky, Khaled Belal, Moustafa Elaraby, Mohammad Zuhdy

Abstract read
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Khaled GaballaDepartment of Surgical Oncology, Oncology Center, Mansoura University, Mansoura, Egypt.
Mohamed AbdelkhalekDepartment of Surgical Oncology, Oncology Center, Mansoura University, Mansoura, Egypt.
Adel FathiDepartment of Surgical Oncology, Oncology Center, Mansoura University, Mansoura, Egypt.
Basel RefkyDepartment of Surgical Oncology, Oncology Center, Mansoura University, Mansoura, Egypt.
Khaled BelalDepartment of Surgical Oncology, Oncology Center, Mansoura University, Mansoura, Egypt.
Moustafa ElarabyMinistry of Health, Consultant of Obstetrics and Gynecology, Mansoura, Egypt.
Mohammad ZuhdyDepartment of Surgical Oncology, Oncology Center, Mansoura University, Mansoura, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In this retrospective study, we discuss our experience as a large tertiary referral center in Egypt in the management and follow-up of borderline tumors. Patients and methods: This is a retrospective cohort study where all patients diagnosed with a borderline ovarian tumor at Oncology Center Mansoura University from November 2014 to June 2020 were included. Demographics, preoperative, operative, postoperative, pathologic, and oncologic follow-up data were retrieved from a prospectively maintained electronic database. The included patients were followed until April 2022. Results: We included 27 patients with borderline ovarian tumors. The mean age of the study patients was 47.67 ± 16.39 years. The median CA 125 was 33 (6-304 U/ml). Frozen section examination was utilized in 13 patients (48.14%), where a diagnosis of borderline ovarian tumors was revealed in 8 patients. Recurrence was reported in one patient with serous type after approximately 26 months. The most common pathological type in our cohort was the mucinous borderline type reported in 14 patients (51.9%), followed by the serous type reported in 11 patients (40.7%), and the seromucinous type in 1 patient only. Patients with mucinous borderline type were significantly younger (40.083 ± 18.47 vs. 53.73 ± 11.91 years, Conclusion: Borderline ovarian tumors still represent a dilemma either in diagnosis or management. A frozen section examination could help to reach a preliminary diagnosis. Total abdominal hysterectomy and bilateral salpingo-oophorectomy are the cornerstone of surgical management; however, fertility-sparing surgery could be a valid option for women desiring fertility.

Indexed as

borderlineborderline (»proliferating«) mucinous tumorovarian borderline malignancyovarian borderline tumor (BOT)ovarian cancer

Identifiers

PMID36117821
PMCPMC9478369

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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.