Evidence map›Paper›PMID 33447560›Full record

ArticleGland surgery2020

Sentinel lymph node mapping in high-risk endometrial cancer: a systematic review and meta-analysis.

Qiang Ji, Xiuying Wang, Jiyong Jiang, Liyan Chen

Open access · diamondAbstract read
In one paragraph

Article in Gland surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Qiang JiGynecological Oncology Ward, Dalian Maternal and Child Health Hospital Affiliated to Dalian Medical University, Dalian, China.
Xiuying WangGynecological Oncology Ward, Dalian Maternal and Child Health Hospital Affiliated to Dalian Medical University, Dalian, China.
Jiyong JiangGynecological Oncology Ward, Dalian Maternal and Child Health Hospital Affiliated to Dalian Medical University, Dalian, China.
Liyan ChenGynecological Oncology Ward, Dalian Maternal and Child Health Hospital Affiliated to Dalian Medical University, Dalian, China.
Dalian Maternal and Child Health Hospital · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the staging of endometrial cancer (EC), the role of sentinel lymph node (SLN) mapping for high-risk EC is still unclear.

methodsTwo authors independently reviewed abstracts and full-text articles for inclusion and assessed study quality. English studies published in PubMed, Embase, and Cochrane Library before 20th SEP, 2019 were retrieved to perform a systematic evaluation and meta-analysis which evaluate the detection rate and diagnostic accuracy of SLN mapping in high-risk EC. Statistical analysis was conducted using stata14.0 software.

resultsA total of 12 studies were included, including 758 high-risk EC patients. The detection rate of SLN mapping was 84.8% (95% CI, 79.9-89.6%). The pooled bilateral detection rate was 67.0% (95% CI, 56.8-77.3%). The pooled para-aortic detection rate was 8.4% (95% CI, 1.8-14.9%). The pooled sensitivity was 87% (95% CI, 79-92%), and the pooled specificity was 98% (95% CI, 96-99%). Pooled negative predictive value (NPV) was 97.7% (95% CI, 96.4-99.1%), AUC =0.99 (95% CI, 0.97-0.099).

conclusionsSLN mapping still has a high detection rate and diagnostic accuracy in high-risk EC. SLN mapping is a reliable alternative to systematic lymph node dissection, but its prognostic effect on high-risk EC is yet to be further studied and verified by large sample studies.

Indexed as

Endometrial cancer (EC)high-risksentinel lymph node (SLN)

Identifiers

PMID33447560
PMCPMC7804562
OpenAlexW3114790727

What OpenQuestion holds

Textmetadata
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.