Evidence map›Paper›PMID 29691646›Full record

ArticleJournal of cancer research and clinical oncology2018

Retrospective validation of the laparoscopic ICG SLN mapping in patients with grade 3 endometrial cancer.

Andrea Papadia, Maria Luisa Gasparri, Anda P Radan, Chantal A L Stämpfli, Tilman T Rau, Michael D Mueller

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of cancer research and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
5.7field-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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. ESGO/ESTRO/ESP Guidelines for the management of patients with endometrial carcinoma.Virchows Archiv : an international journal of pathology · 2021
    Guideline
  3. Article
  4. Review
  5. Review
  6. Review
  7. Sentinel Lymph Node Biopsy in Surgical Staging for High-Risk Groups of Endometrial Carcinoma Patients.International journal of environmental research and public health · 2022
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Surgical staging in endometrial cancer.Journal of cancer research and clinical oncology · 2019
    Review
  17. Review
  18. Sentinel Lymph Nodes in Endometrial Cancer Update 2018.Gynecology and minimally invasive therapy
    Review
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

6 authors at 1 institution in 2 countries.

Andrea PapadiaDepartment of Obstetrics and Gynecology, University Hospital of Berne and University of Berne, Effingerstrasse 102, 3010, Bern, Switzerland. andrea.papadia@insel.ch.ORCID http://orcid.org/0000-0002-4909-9588
Maria Luisa GasparriDepartment of Obstetrics and Gynecology, University Hospital of Berne and University of Berne, Effingerstrasse 102, 3010, Bern, Switzerland.
Anda P RadanDepartment of Obstetrics and Gynecology, University Hospital of Berne and University of Berne, Effingerstrasse 102, 3010, Bern, Switzerland.
Chantal A L StämpfliDepartment of Obstetrics and Gynecology, University Hospital of Berne and University of Berne, Effingerstrasse 102, 3010, Bern, Switzerland.
Tilman T RauInstitute of Pathology, University of Bern, Murtenstrasse 31, 3008, Bern, Switzerland.
Michael D MuellerDepartment of Obstetrics and Gynecology, University Hospital of Berne and University of Berne, Effingerstrasse 102, 3010, Bern, Switzerland.
University of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the sensitivity, negative predictive value (NPV) and false-negative (FN) rate of the near infrared (NIR) indocyanine green (ICG) sentinel lymph node (SLN) mapping in patients with poorly differentiated endometrial cancer who have undergone a full pelvic and para-aortic lymphadenectomy after SLN mapping.

methodsWe performed a retrospective analysis of patients with endometrial cancer undergoing a laparoscopic NIR-ICG SLN mapping followed by a systematic pelvic and para-aortic lymphadenectomy. Inclusion criteria were a grade 3 endometrial cancer or a high-risk histology (papillary serous, clear cell carcinoma, carcinosarcoma, and neuroendocrine carcinoma) and a completion pelvic and para-aortic lymphadenectomy to the renal vessels after SLN mapping. Overall and bilateral detection rates, sensitivity, NPV, and FN rates were calculated.

resultsFrom December 2012 until January 2017, 42 patients fulfilled inclusion criteria. Overall and bilateral detection rates were 100 and 90.5%, respectively. Overall, 23.8% of the patients had lymph node metastases. In one patient, despite negative bilateral pelvic SLNs, a metastatic non-SLN-isolated para-aortic metastasis was detected. This NSLN was clinically suspicious and sent to frozen section analysis during the surgery. FN rate, sensitivity, and NPV were 10, 90, and 97.1%, respectively. For the SLN mapping algorithm, FN rate, sensitivity, and NPV were 0, 100, and 100%, respectively.

conclusionsLaparoscopic NIR-ICG SLN mapping in high-risk endometrial cancer patients has acceptable sensitivity, FN rate, and NPV.

Indexed as

AdultAgedAged, 80 and overEndometrial NeoplasmsFemaleHumansIndocyanine GreenLaparoscopyLymphatic MetastasisLymph Node ExcisionMiddle AgedNeoplasm GradingNeoplasm StagingReproducibility of ResultsRetrospective StudiesSentinel Lymph NodeIndocyanine GreenCarcinosarcomasClear cell carcinomaEndometrial cancerGrade 3Sentinel lymph node biopsyUterine papillary serous carcinoma

Identifiers

PMID29691646
PMCPMC11813295
OpenAlexW2802329263

What OpenQuestion holds

Textmetadata
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.