Evidence map›Paper›PMID 41061302›Full record

ArticleInternational journal of gynecological cancer : official journal of the International Gynecological Cancer Society2025

A prospective comparison of resectability scores to enhance preoperative decision-making in the primary management of advanced ovarian cancer: a Memorial Sloan Kettering Cancer Center Team Ovary study.

Ryan M Kahn, Kimberly Murphy, Kaothar Oladoja, Effi Yeoshoua, Lindsey Finch, Christina Harlev, Olga T Filippova, Alli M Straubhar, Renee A Cowan, Alexia Iasonos and 11 more

Abstract readComparative Study
In one paragraph

Article in International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 2025. 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

5 · Who and what money

Authors and funding

21 authors.

Ryan M KahnMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA.
Kimberly MurphyMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA.
Kaothar OladojaMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA.
Effi YeoshouaMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA.
Lindsey FinchMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA.
Christina HarlevMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA.
Olga T FilippovaMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA.
Alli M StraubharMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA.
Renee A CowanMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA.
Alexia IasonosMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA.
Qin ZhouMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA.
Yulia LakhmanMemorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY, USA.
Debra M SarasohnMemorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY, USA.
Nadeem R Abu-RustumMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA; Weill Cornell Medical College, Department of Obstetrics and Gynecology, New York, NY, USA.
Vance BroachMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA; Weill Cornell Medical College, Department of Obstetrics and Gynecology, New York, NY, USA.
Ahmed Al-NiaimiMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA; Weill Cornell Medical College, Department of Obstetrics and Gynecology, New York, NY, USA.
Ginger J GardnerMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA; Weill Cornell Medical College, Department of Obstetrics and Gynecology, New York, NY, USA.
Yukio SonodaMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA; Weill Cornell Medical College, Department of Obstetrics and Gynecology, New York, NY, USA.
Oliver ZivanovicMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA; Weill Cornell Medical College, Department of Obstetrics and Gynecology, New York, NY, USA.
Kara C LongMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA; Weill Cornell Medical College, Department of Obstetrics and Gynecology, New York, NY, USA.
Dennis S ChiMemorial Sloan Kettering Cancer Center, Department of Surgery, Gynecology Service, New York, NY, USA; Weill Cornell Medical College, Department of Obstetrics and Gynecology, New York, NY, USA. Electronic address: chid@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectiveTo compare cytoreductive outcomes of 2 published algorithms used to triage patients with ovarian cancer to primary debulking surgery versus diagnostic laparoscopy or neoadjuvant chemotherapy.

methodsThis prospective comparative study was conducted from August 1, 2021, to January 31, 2025. All patients with suspected advanced ovarian cancer who were eligible for primary debulking surgery on initial evaluation were identified. Imaging was reviewed utilizing a standardized radiology synoptic report. Data from the synoptic report were combined with clinical factors to determine a Resectability Score using 1 of 2 algorithms, Resectability Score 1.0 (RS1.0) and Resectability Score 2.0 (RS2.0). The algorithms include different clinical and radiologic variables; both generate low- and high-risk scores, with high-risk scores indicating a greater likelihood of suboptimal primary debulking surgery. In high-risk cases, laparoscopic evaluation of resectability was recommended, but management was based on surgeon's discretion.

resultsOf 237 patients identified, 200 had primary debulking surgery with final pathology confirming epithelial ovarian carcinoma. Of 144 patients (72%) who underwent laparotomy and primary debulking surgery, 110 (76%) were triaged directly to surgery and 34 (24%) first underwent diagnostic laparoscopy; 120 (83%) had complete gross resection, 135 (94%) had residual disease ≤1 cm, and 9 (6%) had residual disease >1 cm. Of 56 patients (28%) who underwent neoadjuvant chemotherapy, 43 (77%) first underwent diagnostic laparoscopy, and 13 (23%) were triaged directly to chemotherapy. Among all patients, 44 (22%) had high-risk scores using RS1.0 and 54 (27%) using RS2.0. RS2.0 more frequently predicted the ability to and inability to achieve complete gross resection (p > .05). RS2.0 more accurately identified high-risk disease warranting neoadjuvant chemotherapy (p = .035). Most surgeons (73%) preferred RS2.0, citing ease of use and faster calculation time.

conclusionsRS2.0 demonstrated favorable predictive accuracy for complete gross resection and was preferred among surgeons. The favorable complete gross resection rate (83%) highlights the value of individualized preoperative triage for primary debulking surgery versus neoadjuvant chemotherapy.

Indexed as

Carcinoma, Ovarian EpithelialClinical Decision-MakingCytoreduction Surgical ProceduresOvarian NeoplasmsAdultAgedAlgorithmsFemaleHumansLaparoscopyMiddle AgedNeoadjuvant TherapyProspective StudiesComplete Gross ResectionCytoreductionDebulking SurgeryOvarian CancerPreoperative Assessment

Identifiers

PMID41061302
PMCPMC13491476

What OpenQuestion holds

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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.