Evidence map›Paper›PMID 32075896›Full record

ArticleInternational journal of gynecological cancer : official journal of the International Gynecological Cancer Society2020

Evolution and outcomes of sentinel lymph node mapping in vulvar cancer.

Vance Broach, Nadeem R Abu-Rustum, Yukio Sonoda, Carol L Brown, Elizabeth Jewell, Ginger Gardner, Dennis S Chi, Oliver Zivanovic, Mario M Leitao

Open access · greenAbstract read
In one paragraph

Article in International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Detection of sentinel lymph node in vulvar cancer usingArchives of gynecology and obstetrics · 2023
    Pooled it
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  7. Update on near infrared imaging technology: indocyanine green and near infrared technology in the treatment of gynecologic cancers.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024
    Review
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  17. Current and novel mapping substances in gynecologic cancer care.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2020
    Review
  18. 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

9 authors at 2 institutions in 1 country.

Vance BroachGynecology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York City, New York, USA broachv@mskcc.org.
Nadeem R Abu-RustumGynecology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York City, New York, USA.
Yukio SonodaGynecology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York City, New York, USA.
Carol L BrownGynecology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York City, New York, USA.
Elizabeth JewellGynecology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York City, New York, USA.
Ginger GardnerGynecology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York City, New York, USA.
Dennis S ChiGynecology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York City, New York, USA.
Oliver ZivanovicGynecology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York City, New York, USA.
Mario M Leitao
Cornell University · USMemorial Sloan Kettering Cancer Center · US

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

objectivesTo characterize our institutional experience with sentinel lymph node (SLN) biopsy in patients with vulvar cancer. We describe the oncologic outcomes of these patients and the utilization of SLN detection techniques over time.

methodsA retrospective analysis of all patients who underwent inguinofemoral SLN biopsy as part of their treatment for vulvar cancer at Memorial Sloan Kettering Cancer Center from January 1, 2000 to April 1, 2019. Patients were included in this analysis if they underwent inguinofemoral SLN biopsy for vulvar cancer, irrespective of presenting factors such as histology, tumor size or laterality. An "at-risk groin" was defined as either the right or left groin for which SLN biopsy of inguinofemoral lymph nodes was performed.

resultsA total of 160 patients were included in our analysis, representing 265 at-risk groins. 114 patients had squamous cell histology representing 195 at-risk groins. Of the 169 negative groins in patients with squamous cell carcinoma, the 2 year isolated groin recurrence rate was 1.2%. SLN detection rate, irrespective of modality, was 96.2%. Technetium-99 (TC-99) + blue dye detected SLNs in 91.8% of groins; TC-99 + indocyanine green detected SLNs in 100% of groins (p

conclusionsSLN mapping in vulvar cancer is reliable and oncologically effective. The utilization of indocyanine green for mapping has increased over the past decade and is associated with high rates of SLN detection.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Squamous CellFemaleHumansLymph Node ExcisionLymph NodesMiddle AgedRetrospective StudiesSentinel Lymph NodeSentinel Lymph Node BiopsyVulvar NeoplasmsYoung Adultlymph nodesmelanomasentinel lymph nodesurgical procedures, operativevulvar and vaginal cancer

Identifiers

PMID32075896
PMCPMC7477673
OpenAlexW2973938372

What OpenQuestion holds

Textmetadata
LicenceTDM
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.