ArticleBMC women's health2026
Comparison of vaginal natural orifice transluminal endoscopic surgery and multiport conventional laparoscopy for complete pelvic lymphadenectomy: Insights from a single-surgeon experience.
Article in BMC women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesWe compared the outcomes of complete pelvic lymph node dissection performed via multiport conventional laparoscopy (MCL) versus vaginal natural orifice transluminal endoscopic surgery (vNOTES) in patients with endometrial cancer in whom sentinel lymph node (SLN) mapping was unsuccessful.
methodsThis retrospective cohort study included 42 patients with grade I or II endometrioid endometrial cancer who underwent hysterectomy with bilateral salpingo-oophorectomy, followed by comprehensive retroperitoneal pelvic lymphadenectomy after failed bilateral SLN mapping. Patients underwent either vNOTES (n = 21) or MCL (n = 21). Demographic characteristics, operative times, perioperative and postoperative complications, pain scores, and quality of recovery-15 (QoR-15) scores were collected and compared between the two groups.
resultsDemographic and clinical characteristics were comparable between the two groups, with no statistically significant differences. Operative times were significantly longer in the vNOTES group (53.8 ± 7.4 min) compared to the MCL group (46.9 ± 9.2 min; P = 0.01), whereas estimated blood loss (17.7 ± 5.6 mL vs. 18.8 ± 5.0 mL; P = 0.50) and lymph node yield (32.1 ± 6.6 vs. 35.0 ± 8.1; P = 0.21) did not differ significantly. Postoperative pain assessed by visual analogue scale (VAS) was lower in the vNOTES group at 6 h (4.3 ± 1.1 vs. 5.5 ± 1.0; P = 0.01), 12 h (3.5 ± 0.8 vs. 4.8 ± 1.1; P < 0.001), and 24 h (2.1 ± 0.6 vs. 3.1 ± 0.9; P < 0.001). These findings were corroborated by the faces pain scale-revised (FPS-R), which demonstrated significantly lower pain in the vNOTES group at all time points. QoR-15 scores at 48 h were higher in the vNOTES group (109.3 ± 4.7 vs. 104.9 ± 4.1; P = 0.002), indicating improved postoperative recovery. The observed mean difference of approximately 4.4 points remained below the reported minimal clinically important difference of 8.0 points for this instrument, indicating that the statistically significant benefit should be interpreted with caution regarding its clinical magnitude.
conclusionvNOTES for complete pelvic lymphadenectomy offers reduced postoperative pain, scar-free surgery, and enhanced recovery while maintaining staging adequacy comparable to MCL. Future prospective, multicentre, randomised trials with long-term oncologic follow-up are required to validate these findings.
Indexed as
Identifiers
What OpenQuestion holds
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.