Evidence map›Paper›PMID 34837130›Full record

ArticleAnnals of surgical oncology2022

Predictive Score of Nodal Involvement in Endometrial Cancer Patients: A Large Multicentre Series.

Vito Andrea Capozzi, Giulio Sozzi, Andrea Rosati, Stefano Restaino, Giulia Gambino, Alessandra Cianciolo, Marcello Ceccaroni, Stefano Uccella, Massimo Franchi, Vito Chiantera and 3 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Annals of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 31 citations in OpenAlex.

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  4. Retrospective analysis of theRadiation oncology (London, England) · 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

13 authors at 6 institutions in 1 country.

Vito Andrea CapozziDepartment of Medicine and Surgery, University of Parma, Parma, Italy. vitoandrea.capozzi@studenti.unipr.it.
Giulio SozziDepartment of Gynecologic Oncology, University of Palermo, Palermo, Italy.
Andrea RosatiDepartment of Woman and Child Health and Public Health, Woman Health Area, A. Gemelli University Hospital Foundation IRCCS, Rome, Italy.
Stefano RestainoDepartment of Woman and Child Health and Public Health, Woman Health Area, A. Gemelli University Hospital Foundation IRCCS, Rome, Italy.
Giulia GambinoDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Alessandra CiancioloDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Marcello CeccaroniDepartment of Obstetrics and Gynecology, Gynecologic Oncology and Minimally-Invasive Pelvic Surgery, International School of Surgical Anatomy, IRCCS "Sacro Cuore - Don Calabria" Hospital, Negrar, Verona, Italy.
Stefano UccellaDepartment of Obstetrics and Gynecology, University Hospital of Verona, University of Verona, Verona, Italy.
Massimo FranchiDepartment of Obstetrics and Gynecology, University Hospital of Verona, University of Verona, Verona, Italy.
Vito ChianteraDepartment of Gynecologic Oncology, University of Palermo, Palermo, Italy.
Giovanni ScambiaDepartment of Woman and Child Health and Public Health, Woman Health Area, A. Gemelli University Hospital Foundation IRCCS, Rome, Italy.
Francesco FanfaniDepartment of Woman and Child Health and Public Health, Woman Health Area, A. Gemelli University Hospital Foundation IRCCS, Rome, Italy.
Roberto BerrettaDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
University of Parma · ITAgostino Gemelli University Polyclinic · ITUniversity of Palermo · ITUniversity of Verona · ITOspedale Sacro Cuore Don Calabria · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSentinel lymph node (SLN) biopsy is considered the standard of care in early-stage endometrial cancer (EC). For SLN failure, a side-specific lymphadenectomy is recommended. Nevertheless, most hemipelvises show no nodal involvement. The authors previously published a predictive score of lymphovascular involvement in EC. In case of a negative score (value 3-4), the risk of nodal metastases was extremely low. This multicenter study aimed to analyze a predictive score of nodal involvement in EC patients.

methodsThe study enrolled patients with EC who had received comprehensive surgical staging with nodal assessment. A preoperative predictive score of nodal involvement was calculated for all the patients before surgery. The score included myometrial infiltration, tumor grading (G), tumor diameter, and Ca125 assessment. The STARD (standards for Reporting Diagnostic accuracy studies) guidelines were followed for score accuracy.

resultsThe study analyzed 1038 patients and detected 155 (14.9%) nodal metastases. The score was negative (3 or 4) for 475 patients and positive (5-7) for 563 of these patients. The score had a sensitivity of 83.2%, a specificity of 50.8%, a negative predictive value of 94.5%, and a diagnostic value of 55.7%. The area under the curve was 0.75. The logistic regression showed a significant correlation between a negative score and absence of nodal metastasis (odds ration [OR], 5.133, 95% confidence interval [CI], 3.30-7.98; p < 0.001).

conclusionThe proposed predictive score is a useful test to identify patients at low risk of nodal involvement. In case of SLN failure, the application of the current score in the SLN algorithm could allow avoidance of unnecessary lymphadenectomies.

Indexed as

Endometrial NeoplasmsSentinel Lymph NodeFemaleHumansLymphatic MetastasisLymph Node ExcisionLymph NodesNeoplasm StagingSentinel Lymph Node Biopsy

Identifiers

PMID34837130
OpenAlexW3215131712

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.