Evidence map›Paper›PMID 41372672›Full record

ArticleJournal of robotic surgery2025

Annual nationwide cost estimation and short-term outcomes after para-aortic lymph node dissection for gynecologic malignancies according to surgical approach (open, laparoscopic, and robotic).

Giuseppe D'Angelo, Cam Duong, Enrica Bentivegna, Meriem Koual, Huyen-Thu Nguyen-Xuan, Giuseppe Bifulco, Anne-Sophie Bats, Henri Azaïs

Abstract readComparative Study
In one paragraph

Article in Journal of robotic surgery, 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

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

8 authors.

Giuseppe D'AngeloDepartment of Gynecological Oncological and Breast Surgery, AP-HP (Assistance Publique des Hôpitaux de Paris), Hôpital Européen Georges- Pompidou, Paris, France.
Cam DuongDepartment of Gynecological Oncological and Breast Surgery, AP-HP (Assistance Publique des Hôpitaux de Paris), Hôpital Européen Georges- Pompidou, Paris, France.
Enrica BentivegnaDepartment of Gynecological Oncological and Breast Surgery, AP-HP (Assistance Publique des Hôpitaux de Paris), Hôpital Européen Georges- Pompidou, Paris, France.
Meriem KoualDepartment of Gynecological Oncological and Breast Surgery, AP-HP (Assistance Publique des Hôpitaux de Paris), Hôpital Européen Georges- Pompidou, Paris, France.
Huyen-Thu Nguyen-XuanDepartment of Gynecological Oncological and Breast Surgery, AP-HP (Assistance Publique des Hôpitaux de Paris), Hôpital Européen Georges- Pompidou, Paris, France.
Giuseppe BifulcoDepartment of Public Health, University of Naples Federico II, Naples, Italy.
Anne-Sophie BatsDepartment of Gynecological Oncological and Breast Surgery, AP-HP (Assistance Publique des Hôpitaux de Paris), Hôpital Européen Georges- Pompidou, Paris, France.
Henri AzaïsDepartment of Gynecological Oncological and Breast Surgery, AP-HP (Assistance Publique des Hôpitaux de Paris), Hôpital Européen Georges- Pompidou, Paris, France. henri.azais@aphp.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare direct in-hospital costs and short-term outcomes of para-aortic lymph node dissection (PAL) for gynecologic cancer performed by open laparotomy (OLP), conventional laparoscopy (CLS) and robot-assisted surgery (RAS) in a nationwide French cohort, using a tertiary robotic unit as benchmark.

methodsThe 2023 national hospital registry (PMSI) was filtered for admissions in public and not-for-profit hospitals coded for uterine cancer or ovarian cancer (ICD-10) combined with PAL; pelvic dissection was additionally recorded when the corresponding code was present. Aggregate data (admissions, ward and intensive-care unit bed-days, Severity Index (SI) class) were extracted by surgical approach. Direct hospital costs were calculated by combining national tariffs with approach-specific disposable-instrument charges. The primary endpoint was the direct index-stay cost; secondary endpoints included length of stay (LOS) and severe morbidity (SI 3-4). Design was retrospective and based on approach-level aggregates (no patient-level covariates); administrative-coding constraints were present, and comparative results were interpreted accordingly.

resultsAmong the 1 076 patients who underwent PAL in 2023, the surgical approach was OLP in 69.7% (n = 750), CLS in 20.2% (n = 217), and robot-assisted surgery (RAS) in 10.1% (n = 109). Of these, 30 RAS procedures were performed at Hôpital Européen Georges-Pompidou (RAS-HEGP). Median LOS for uncomplicated cases was 7.3 (OLP), 3.3 (CLS), 3.2 (RAS-PUB) and 4.5 (RAS-HEGP) days, respectively (p < 0.001). Severe morbidity fell from 33.1% (OLP) to 6.0% (CLS), 8.9% (RAS-PUB) and 3.3% (RAS-HEGP). Mean direct costs were €8 823, €3 222, €4 099 and €3 962. Adjusted odds of severe morbidity dropped by 87% with CLS, 80% with RAS-PUB and 93% with RAS-HEGP; cost ratios relative to OLP were 0.37 for CLS, 0.46 for RAS-PUB and 0.45 for RAS-HEGP (all p < 0.001). All between-approach comparisons are descriptive; p values are exploratory.

conclusionsOLP remains predominant yet is clinically and economically inferior. CLS offers the best value where expertise exists, while RAS approximates CLS and markedly outperforms OLP, supporting its use as an alternative to OLP in centres that cannot sustain complex laparoscopy.

Indexed as

Genital Neoplasms, FemaleHospital CostsLaparoscopyLymph Node ExcisionRobotic Surgical ProceduresAdultAgedFemaleFranceHumansLaparotomyLength of StayMiddle AgedRegistriesRetrospective StudiesTreatment OutcomeGynecologic oncologyHospital costsMinimally invasive surgeryNationwide registryPara-aortic lymphadenectomyRobot-assisted surgery

Identifiers

PMID41372672
PMCPMC12695908

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LicenceCC BY-NC-ND
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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.