Evidence map›Paper›PMID 30036220›Full record

ArticleInternational journal of gynecological cancer : official journal of the International Gynecological Cancer Society2018

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.

Leon Cornelius Snyman, Emma P Bryant, Elize I Wethmar, Tom de Greve, Florette Reyneke, Mike M Sathekge, Barend G Lindeque, Nadeem R Abu-Rustum

Abstract read
In one paragraph

Article in International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
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

8 authors at 3 institutions in 3 countries.

Leon Cornelius SnymanGynaecologic Oncology Unit, Department of Obstetrics & Gynaecology, and.
Emma P BryantGynaecologic Oncology Unit, Department of Obstetrics & Gynaecology, and.
Elize I WethmarGynaecologic Oncology Unit, Department of Obstetrics & Gynaecology, and.
Tom de GreveGynaecologic Oncology Unit, Department of Obstetrics & Gynaecology, and.
Florette ReynekeDepartment of Obstetrics Nuclear Medicine, University of Pretoria, Pretoria, South Africa.
Mike M SathekgeDepartment of Obstetrics Nuclear Medicine, University of Pretoria, Pretoria, South Africa.
Barend G LindequeGynaecologic Oncology Unit, Department of Obstetrics & Gynaecology, and.
Nadeem R Abu-Rustum
Australia New Zealand Gynaecological Oncology Group · AUUniversity of Pretoria · ZACornell University · 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

objectivesCervical cancer is common in resource-poor settings with high prevalence of tuberculosis, pelvic inflammatory disease, and human immunodeficiency virus (HIV) infection. There are no data regarding the sentinel lymph node (SLN) algorithm in these high-risk cancer populations. Our objectives were to establish the sensitivity, specificity, positive predictive value, and negative predictive value of the SLN algorithm in cervical cancer and to compare the detection rate of indocyanine green (ICG) versus blue dye versus technetium Tc 99m nanocolloid (Tc).

methodsThis prospective study was conducted at the University of Pretoria. Tc-nanocolloid tracer, ICG dye, and methylene blue (MB) were used to detect SLNs. Pathological ultrastaging was performed on hematoxylin-eosin- negative nodes.

resultsResults of 72 women were analyzed. The mean age was 47.2 years, 5.5% had a history of tuberculosis, 18.1% had pelvic inflammatory disease, and 65.3% were HIV positive. The SLN detection rate was 65.3%. Detection rate of MB was 56.9%; Tc, 69.4%; ICG, 87.5%; and the combination of MB and Tc, 91.7%. Pelvic nodal metastases occurred in 26.4%. The sensitivity, specificity, negative predictive value, and positive predictive value of SLN biopsy were 85.7%, 100%, 100%, and 98.33%, respectively. The false-negative rate was 14.3%, and it was 0% if the algorithm was applied.

conclusionsThe SLN algorithm is a feasible option for use in cervical cancer women with a high prevalence of HIV infection. The detection rate is generally lower, but in select subgroups of women, it was comparable to that reported elsewhere. This is the first report of the use of SLN biopsy in a substantial group of HIV-infected women.

Indexed as

AlgorithmsAdultAgedFemaleHIV InfectionsHumansIndocyanine GreenLymphatic MetastasisLymph Node ExcisionMiddle AgedPredictive Value of TestsProspective StudiesSentinel Lymph NodeSentinel Lymph Node BiopsySouth AfricaTechnetium Tc 99m Aggregated AlbuminIndocyanine GreenTechnetium Tc 99m Aggregated Albumintechnetium Tc 99m nanocolloid

Identifiers

PMID30036220
PMCPMC6639793
OpenAlexW2883457132

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.