Evidence map›Paper›PMID 32791996›Full record

ArticleWorld journal of surgical oncology2020

Nadir CA-125 serum levels during neoadjuvant chemotherapy and no residual tumor at interval debulking surgery predict prognosis in advanced stage ovarian cancer.

Kazuto Nakamura, Yoshikazu Kitahara, Toshio Nishimura, Soichi Yamashita, Keiko Kigure, Ikuro Ito, Tatsuya Kanuma

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Predictors of long-term progression-free survival in patients with ovarian cancer treated with niraparib in the PRIMA/ENGOT-OV26/GOG-3012 study.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024
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  5. Change of Fagotti score is associated with outcome after neoadjuvant chemotherapy for ovarian cancer.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2023
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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

7 authors at 3 institutions in 1 country.

Kazuto NakamuraDepartment of Gynecology, Gunma Prefectural Cancer Center, 617-1, Takabayashinishi, Ota, Gunma, 373-8550, Japan. nkazuto@gunma-cc.jp.ORCID http://orcid.org/0000-0001-5738-3418
Yoshikazu KitaharaDepartment of Obstetrics and Gynecology, Gunma University Hospital, Maebashi, Gunma, 371-8511, Japan.
Toshio NishimuraDepartment of Obstetrics and Gynecology, Gunma University Hospital, Maebashi, Gunma, 371-8511, Japan.
Soichi YamashitaDepartment of Gynecology, Gunma Prefectural Cancer Center, 617-1, Takabayashinishi, Ota, Gunma, 373-8550, Japan.
Keiko KigureDepartment of Gynecology, Gunma Prefectural Cancer Center, 617-1, Takabayashinishi, Ota, Gunma, 373-8550, Japan.
Ikuro ItoDepartment of Obstetrics and Gynecology, Takasaki General Medical Center, Takasaki, Gunma, 370-0829, Japan.
Tatsuya KanumaDepartment of Gynecology, Gunma Prefectural Cancer Center, 617-1, Takabayashinishi, Ota, Gunma, 373-8550, Japan.
Gunma University Hospital · JPGunma Children's Medical Center · JPNational Hospital Organization Takasaki Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent phase III randomized trials have suggested that neoadjuvant chemotherapy followed by interval debulking surgery (NACT-IDS) is a treatment option for patients with advanced epithelial ovarian cancer. This study aimed to use CA-125 and computed tomography (CT) scanning to generate a simple and clinically applicable model of predicting complete cytoreduction by interval debulking surgery (IDS) and the overall survival in patients who receive taxane/platinum-based chemotherapy as neoadjuvant chemotherapy (NACT).

methodsPatients with stage IIIc or IV epithelial ovarian cancer who underwent taxane/platinum-based NACT followed by IDS in Gunma Prefectural Cancer Center, Takasaki General Medical Center, and Gunma University from April 2009 to March 2015 were included. Patients underwent a CT scan to confirm confirm tumors unresectable by standard surgery before NACT. CA-125 levels were measured pre-NACT, after each cycle of NACT, and before IDS. CT was also performed before IDS to evaluate tumor metastasis. Data were collected retrospectively and analyzed to determine the predictive factors of complete resection and overall survival.

resultsAmong 63 patients who received NACT-IDS, 43 and 20 patients had stages IIIc and IV epithelial ovarian cancer at diagnosis, respectively. CT predictors of residual tumors after IDS such as extra-ovarian implants (P = 0.009) and omental cakes (P = 0.038) were not present. Univariate analysis revealed that the independent factors for overall survival were no residual tumor by IDS (P = 0.0016) and CA125 ≤ 20 U/ml before IDS (P = 0.0011).

conclusionsAlthough this study had a small sample size, NACT-IDS used to completely remove macroscopic disease which significantly improved the prognosis of patients with preoperative CA-125 ≤ 20 U/ml. Results from this study provide useful information for future studies on the management of patients with advanced epithelial ovarian cancer.

Indexed as

Cytoreduction Surgical ProceduresOvarian NeoplasmsCarcinoma, Ovarian EpithelialChemotherapy, AdjuvantFemaleHumansNeoadjuvant TherapyNeoplasm, ResidualNeoplasm StagingPrognosisRetrospective StudiesInterval debulking surgeryNeoadjuvant chemotherapyOvarian cancer

Identifiers

PMID32791996
PMCPMC7427056
OpenAlexW3048600727

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.