Evidence map›Paper›PMID 38802682›Full record

ArticleJournal of cancer research and clinical oncology2024

Treatment of endometrial cancer from 2000 to 2020 in Germany: a retrospective population based cohort study.

Thomas Papathemelis, Olaf Ortmann, Cynthia Kohl, Petra Neuser, Kees Kleihues-van Tol, Monika Klinkhammer-Schalke, Peter Ugocsai, Christina Barbara Walter, Miriam Rottmann, Catherine Real and 6 more

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. [The North Rhine-Westphalia State Cancer Registry-a historical review from 1974-2025].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. 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

16 authors.

Thomas Papathemelis *Department of Gynecology and Obstetrics, Hospital St. Marien Amberg, Amberg, Germany. papathemelis@web.de.
Olaf Ortmann *Department of Gynecology and Obstetrics, University Medical Centre Regensburg, Regensburg, Germany.
Cynthia KohlDepartment of Gynecology and Obstetrics, Hospital St. Marien Amberg, Amberg, Germany.ORCID http://orcid.org/0000-0003-0026-2847
Petra NeuserHessian Cancer Registry, Hessian Office for Health and Care, Frankfurt, Germany.
Kees Kleihues-van TolArbeitsgemeinschaft Deutscher Tumorzentren E.V. (ADT), 14057, Berlin, Germany.
Monika Klinkhammer-SchalkeTumor Center Regensburg, Institute of Quality Management and Health Services Research of the University of Regensburg, Regensburg, Germany.
Peter UgocsaiDepartment of Gynecology and Obstetrics, University Medical Centre Regensburg, Regensburg, Germany.
Christina Barbara WalterDepartment of Women's Health, University Women's Hospital Tübingen, Tubingen, Germany.
Miriam RottmannBavarian Cancer Registry, Regional Centre Munich, Bavarian Health and Food Safety Authority (LGL), Munich, Germany.
Catherine RealCancer Registry North Rhine-Westphalia, Bochum, Germany.
Christina JustenhovenCancer Registry of Rhineland-Palatinate in the Institute for Digital Health Data, Mainz, Germany.
Gabriele RobersCancer Registry Mecklenburg-Western Pomerania, Greifswald, Germany.
Constanze SchneiderCancer Registry Brandenburg-Berlin, Cottbus, Germany.
Michael GerkenTumor Center Regensburg, Institute of Quality Management and Health Services Research of the University of Regensburg, Regensburg, Germany.
Andrea SackmannHessian Cancer Registry, Hessian Office for Health and Care, Frankfurt, Germany.
Soo-Zin Kim-WannerHessian Cancer Registry, Hessian Office for Health and Care, Frankfurt, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEndometrial cancer (EC) is one of the most common malignancies among women in western countries. This study aimed to assess data on patient treatment in Germany throughout two decades to evaluate the development and effect of surgery, radiation, and chemotherapy.

methodsThis retrospective registry study included 34,349 EC patients diagnosed between 2000 and 2020. Patients were classified into five risk groups. Overall survival was analyzed by Kaplan-Meier method as well as univariable and multivariable Cox regression to evaluate risk factors and treatment options.

resultsOver the study period, minimal invasive surgery was used more often compared to open surgery and was associated with better overall survival. Patients with advanced EC were more likely to receive multimodal therapy. Patients with intermediate risk EC had a good prognosis upon surgery, which further improved when radiotherapy was added. High-risk patients showed poorer prognosis but clearly benefited from additional radiotherapy. Survival of elderly high-risk patients with a non-endometrioid histology was improved when chemotherapy was added to surgery and radiotherapy.

conclusionOur study includes a large analysis of data from German clinical cancer registries on the care of endometrial cancer during two decades. We observed an increase of minimal invasive surgery. There is evidence that minimal invasive surgery is not inferior to open surgery. Adjuvant radio- and chemotherapy further improves survival depending on risk group and age.

Indexed as

Endometrial NeoplasmsAdultAgedAged, 80 and overCombined Modality TherapyFemaleGermanyHumansMiddle AgedPrognosisRegistriesRetrospective StudiesSurvival RateChemotherapyMultimodal therapyOutcomeOverall survivalRadiotherapyRetrospective cohort studySurgery

Identifiers

PMID38802682
PMCPMC11129991

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.