Evidence map›Paper›PMID 35024403›Full record

ArticleGynecologic oncology reports2022

Predictors of uncommon location of sentinel nodes in endometrial and cervical cancers.

Yfat Kadan, Alexandra Baron, Yoav Brezinov, Alon Ben Arie, Ami Fishman, Mario Beiner

Open access · goldAbstract read
In one paragraph

Article in Gynecologic oncology reports, 2022. 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
0.6field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  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

6 authors at 4 institutions in 1 country.

Yfat KadanGynecologic Oncology Division, Department of Obstetrics and Gynecology, HaEmek Medical Center, affiliated with Technion Institute of Technology, Haifa, Israel.
Alexandra BaronGynecologic Oncology Division, Department of Obstetrics and Gynecology, Meir Medical Center, affiliated with Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Yoav BrezinovDepartment of Obstetrics and Gynecology, Kaplan Medical Center, Rehovot, Affiliated to the Hebrew University, Medical School, Jerusalem, Israel.
Alon Ben ArieDepartment of Obstetrics and Gynecology, Kaplan Medical Center, Rehovot, Affiliated to the Hebrew University, Medical School, Jerusalem, Israel.
Ami FishmanGynecologic Oncology Division, Department of Obstetrics and Gynecology, Meir Medical Center, affiliated with Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Mario BeinerGynecologic Oncology Division, Department of Obstetrics and Gynecology, Meir Medical Center, affiliated with Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Kaplan Medical Center · ILTel Aviv University · ILMeir Medical Center · ILTechnion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSentinel node mapping is widely used in the treatment of gynecologic cancers. The current study aimed to identify predictors of uncommon sentinel lymph node (SLN) locations.

methodsThe current study included women who were operated for endometrial or cervical cancer with attempted sentinel lymph node mapping during surgical staging. Data were collected from electronic charts. The pelvis and the external ilia and obturator basins were common node locations. Para-aortic, pre-sacral, common iliac, internal iliac, and parametrial nodes were considered uncommon locations. We conducted analyses stratified according to common, uncommon, and very uncommon (

resultsA total of 304 women were enrolled in the current study; 15.8% had SLN in uncommon locations and 4.3% had very uncommon node locations. Body mass index (BMI) was a negative predictor for uncommon SLN locations (OR 0.88, p = 0.03). The use of either indocyanine green (ICG) or Tc

conclusionsBMI, tracer type, surgical year, and positive nodes were independent predictors for uncommon SLN locations. These findings suggest that surgical effort, technique and experience may result in better identification of uncommon SLN locations.

Identifiers

PMID35024403
PMCPMC8724951
OpenAlexW4200371185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.