Evidence map›Paper›PMID 27526991›Full record

ArticleGynecologic oncology2016

Sentinel lymph node detection rates using indocyanine green in women with early-stage cervical cancer.

Anna L Beavis, Sergio Salazar-Marioni, Abdulrahman K Sinno, Rebecca L Stone, Amanda N Fader, Antonio Santillan-Gomez, Edward J Tanner

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Gynecologic oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 pooled it
–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

26 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Use of a Sentinel Lymph Node Biopsy Algorithm in a South African Population of Patients With Cervical Cancer and High Prevalence of Human Immunodeficiency Virus Infection.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2018
    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

7 authors.

Anna L BeavisThe Kelly Gynecologic Oncology Service, Department of Gynecology and Obstetrics, Johns Hopkins Medicine, Baltimore, MD, USA.
Sergio Salazar-MarioniTexas Oncology, San Antonio, Texas, USA; University of Monterrey, San Pedro Garza Garcia, Mexico.
Abdulrahman K SinnoThe Kelly Gynecologic Oncology Service, Department of Gynecology and Obstetrics, Johns Hopkins Medicine, Baltimore, MD, USA.
Rebecca L StoneThe Kelly Gynecologic Oncology Service, Department of Gynecology and Obstetrics, Johns Hopkins Medicine, Baltimore, MD, USA.
Amanda N FaderThe Kelly Gynecologic Oncology Service, Department of Gynecology and Obstetrics, Johns Hopkins Medicine, Baltimore, MD, USA.
Antonio Santillan-GomezThe Kelly Gynecologic Oncology Service, Department of Gynecology and Obstetrics, Johns Hopkins Medicine, Baltimore, MD, USA; Texas Oncology, San Antonio, Texas, USA.
Edward J TannerThe Kelly Gynecologic Oncology Service, Department of Gynecology and Obstetrics, Johns Hopkins Medicine, Baltimore, MD, USA. Electronic address: etanner4@jhmi.edu.

Funding

Treatment of HIV- and HIV+ Patients with HPV16+ CIN2/3 Using pNGLV4a-hCRTE6E7L2 DNA vaccine administered intramuscularly via electroporationP50CA098252 · NCI · JOHNS HOPKINS UNIVERSITY · PI Richard Bruce Roden · 2003 to 2026
$53.5M
NCI NIH HHS P50 CA098252
6 · The paper itself

Abstract

objectiveOur study objective was to determine feasibility and mapping rates using indocyanine green (ICG) for sentinel lymph node (SLN) mapping in early-stage cervical cancer.

methodsWe performed a retrospective review of all women who underwent SLN mapping with ICG during primary surgical management of early-stage cervical cancer by robotic-assisted radical hysterectomy (RA-RH) or fertility-sparing surgery. Patients were treated at two high-volume centers from 10/2012 to 02/2016. Completion pelvic lymphadenectomy was performed after SLN biopsy; additionally, removal of clinically enlarged/suspicious nodes was part of the SLN treatment algorithm.

resultsThirty women with a median age of 42.5 and BMI of 26.5 were included. Most (90%) had stage IB disease, and 67% had squamous histology. RA-RH was performed in 86.7% of cases. One patient underwent fertility-sparing surgery. Median cervical tumor size was 2.0cm. At least one SLN was detected in all cases (100%), with bilateral mapping achieved in 87%. SLN detection was not impacted by tumor size and was most commonly identified in the hypogastric (40.3%), obturator (26.0%), and external iliac (20.8%) regions. Five cases of lymphatic metastasis were identified (16.7%): three in clinically enlarged SLNs, one in a clinically enlarged non-SLN, and one case with cytokeratin positive cells in an SLN. All metastatic disease would have been detected even if full lymphadenectomy had been omitted from our treatment algorithm,

conclusionsSLN mapping with ICG is feasible and results in high detection rates in women with early-stage cervical cancer. Prospective studies are needed to determine if SLN mapping can replace lymphadenectomy in this setting.

Indexed as

Indocyanine GreenAdultAgedFemaleHumansLymphatic MetastasisMiddle AgedNeoplasm StagingSentinel Lymph Node BiopsyUterine Cervical NeoplasmsIndocyanine GreenCervical cancerFluorescence imagingIndocyanine greenRobotic hysterectomySentinel lymph node

Identifiers

PMID27526991
PMCPMC5576021

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.