SynthesisOncotarget2017
Sentinel lymph node mapping in endometrial cancer: a systematic review and meta-analysis.
Synthesis in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 5 of them syntheses that pooled 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.
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.
Who cites it
38 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Sentinel Lymph Node Biopsy in Endometrial Cancer - A Systematic Review and Quality Assessment of Meta-Analyses.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022Pooled it
- Sentinel node biopsy for diagnosis of lymph node involvement in endometrial cancer.The Cochrane database of systematic reviews · 2021Pooled it
- ESGO/ESTRO/ESP Guidelines for the management of patients with endometrial carcinoma.Virchows Archiv : an international journal of pathology · 2021Guideline
- Accuracy of One-Step Nucleic Acid Amplification in Detecting Lymph Node Metastases in Endometrial Cancer.Pathology oncology research : POR · 2020Pooled it
- Robotic-Assisted Sentinel Lymph Node Mapping With Indocyanine Green in Pelvic Malignancies: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2019Pooled it
- The detection of sentinel lymph nodes in laparoscopic surgery can eliminate systemic lymphadenectomy for patients with early stage endometrial cancer.International journal of clinical oncology · 2018Trial
- Optimized sentinel nodes detection in endometrial cancer: intraoperative indocyanine green mapping with postoperative bread-loaf slicing ultrastaging.World journal of surgical oncology · 2026Article
- Indocyanine Green Sentinel Lymph Node Mapping as a Tool for Personalized Surgical Management in Uterine Corpus Cancer: A Single-Center Comparative Study.Journal of personalized medicine · 2026Article
- Robot-Assisted Hysterectomy Provides Higher Sentinel Node Detection and Lower Conversion Rates Compared to Laparoscopy in Endometrial Cancer.Life (Basel, Switzerland) · 2026Article
- Laparoscopy in the Surgical Management of Gynecological Cancer: A Comprehensive Update.Journal of clinical medicine · 2025Review
- Route of Surgery for Sentinel Node Biopsy in Endometrial Cancer: Laparoscopy Versus Robotics.Journal of clinical medicine · 2025Article
- Sentinel lymph node biopsy by transvaginal natural orifice transluminal endoscopic surgery for early-stage endometrial cancer: a systematic literature review.Frontiers in surgery · 2025Review
- Mini-laparoscopy versus conventional laparoscopy for the management of endometrial cancer.Northern clinics of Istanbul · 2025Article
- The role of technetium-99m isotope in sentinel lymph node identification in gynecological cancers.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025Review
- Review
- Visualization Methods for Uterine Sentinel Lymph Nodes in Early-Stage Endometrial Carcinoma: A Comparative Analysis.Diagnostics (Basel, Switzerland) · 2024Article
- Sentinel lymph node biopsy with carbon dye in endometrial cancer: a single center, prospective cohort study.Surgical endoscopy · 2024Article
- Current applications of indocyanine green (ICG) in abdominal, gynecologic and urologic surgery: a meta-review and quality analysis with use of the AMSTAR 2 instrument.Surgical endoscopy · 2024Review
- Predictors of Bilateral SLN Radiocolloid Detection in Endometrial Carcinoma.World journal of nuclear medicine · 2023Article
- Personalized Sentinel Node Mapping in Endometrial Cancer by the Indocyanine Green Implementation as Single Tracer: A Case Control Study.Journal of personalized medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endometrial cancer is the most frequent tumor in the female reproductive system, while the sentinel lymph node (SLN) mapping for diagnostic efficacy of endometrial cancer is still controversial. This meta-analysis was conducted to evaluate the diagnostic value of SLN in the assessment of lymph nodal involvement in endometrial cancer. Forty-four studies including 2,236 cases were identified. The pooled overall detection rate was 83% (95% CI: 80-86%). The pooled sensitivity was 91% (95% CI: 87-95%). The bilateral pelvic node detection rate was 56% (95% CI: 48-64%). Use of indocyanine green (ICG) increased the overall detection rate to 93% (95% CI: 89-96%) and robotic-assisted surgery also increased the overall detection rate to 86% (95% CI: 79-93%). In summary, our meta-analysis provides strong evidence that sentinel node mapping is an accurate and feasible method that performs well diagnostically for the assessment of lymph nodal involvement in endometrial cancer. Cervical injection, robot-assisted surgery, as well as using ICG, optimized the sensitivity and detection rate of the technique. Sentinel lymph mapping may potentially leading to a greater utilization by gynecologic surgeons in the future.
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Registered trials
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.