Evidence map›Paper›PMID 36836404›Full record

ArticleJournal of personalized medicine2023

Personalized Sentinel Node Mapping in Endometrial Cancer by the Indocyanine Green Implementation as Single Tracer: A Case Control Study.

Ignacio Cristóbal Quevedo, Ignacio Cristóbal García, Myriam Gracia, Virginia Garcia-Pineda, Maria Alonso-Espias, Jaime Siegrist, Maria Dolores Diestro, Alicia Hernández, Ignacio Zapardiel

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Ignacio Cristóbal QuevedoGynecologic Oncology Unit, La Paz University Hospital, 28046 Madrid, Spain.
Ignacio Cristóbal GarcíaGynecology Department, San Carlos Clinic Hospital, 28040 Madrid, Spain.ORCID 0000-0002-2793-6592
Myriam GraciaGynecologic Oncology Unit, La Paz University Hospital, 28046 Madrid, Spain.ORCID 0000-0002-8717-5270
Virginia Garcia-PinedaGynecologic Oncology Unit, La Paz University Hospital, 28046 Madrid, Spain.
Maria Alonso-EspiasGynecologic Oncology Unit, La Paz University Hospital, 28046 Madrid, Spain.
Jaime SiegristGynecologic Oncology Unit, La Paz University Hospital, 28046 Madrid, Spain.ORCID 0000-0002-8082-9710
Maria Dolores DiestroGynecologic Oncology Unit, La Paz University Hospital, 28046 Madrid, Spain.ORCID 0000-0002-2935-7359
Alicia HernándezGynecologic Oncology Unit, La Paz University Hospital, 28046 Madrid, Spain.
Ignacio ZapardielGynecologic Oncology Unit, La Paz University Hospital, 28046 Madrid, Spain.ORCID 0000-0002-9175-7767

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main objective was to analyze the rate of bilateral sentinel lymph node (SLN) detection in endometrial cancer using indocyanine green (ICG) as a unique tracer compared to Technetium99 + ICG. As secondary objectives, we analyzed the drainage pattern and factors that might affect the oncological outcomes. A case-control ambispective study was carried out on consecutive patients at our center. Data on the SLN biopsy with ICG collected prospectively were compared to retrospective data on the use of a double-tracer technique including Technetium99 + ICG. In total, 194 patients were enrolled and assigned to both groups, in which the group with both tracers (controls) included 107 (54.9%) patients and the ICG-alone group (cases) included 87 (45.1%) patients. The rate of bilateral drainage was significantly higher in the ICG group (98.9% vs. 89.7%;

Indexed as

endometrial neoplasmsindocyanine greensentinel lymph nodetechnetium

Identifiers

PMID36836404
PMCPMC9966782

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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.