Trial reportSurgical endoscopy2026
Laparoscopic versus robotic transabdominal preperitoneal inguinal hernia repair: a randomized controlled trial.
Trial report in Surgical endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis 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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Robotic versus laparoscopic inguinal hernia repair: a systematic review and meta-analysis of randomized controlled trials.Surgical endoscopy · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRobotic inguinal hernia repair (RIHR) has emerged as an alternative to laparoscopic transabdominal preperitoneal (TAPP) repair, offering improved ergonomics and dexterity. However, evidence comparing early outcomes between the two approaches, particularly in the Indian population, remains limited.
methodsA single-center, parallel arm, participant- and assessor-blinded randomized controlled trial was conducted between January 2022 and June 2023 after institutional ethics approval (AIIMS/IEC/2022/3928) and trial registration (CTRI/2022/07/043873). A total of 101 adult patients with uncomplicated inguinal hernia were randomized (2:1) to laparoscopic TAPP (n = 67) or robotic TAPP (n = 34). The primary outcome was postoperative pain assessed using the Visual Analog Scale (VAS) at 3, 6, and 12 h. Secondary outcomes included operative time, peritoneal flap dissection time, time to resume normal activities, and postoperative complications up to 4 weeks.
resultsBaseline characteristics were well balanced between the groups. No significant differences were observed in postoperative pain scores at 3, 6, and 12 h, with mean differences (robotic minus laparoscopic) of 0.28 (95% CI, - 0.34 to 0.90; p = 0.261), - 0.16 (95% CI, - 0.69 to 0.37; p = 0.733), and 0.32 (95% CI, - 0.15 to 0.79; p = 0.307), respectively. The requirement for rescue analgesia was similar between the groups (20.6% vs. 17.9%; absolute risk difference, 2.7%; 95% CI, -13.7% to 19.1%; p = 0.744). Total operative time and time to resumption of normal daily activities did not differ significantly between the groups (p = 0.142 and p = 0.180, respectively). Postoperative complication rates, including pain, seroma, and surgical site infection, were not significantly different between the groups at both the 1-week and 4-week follow-up.
conclusionsRobotic TAPP was not superior to laparoscopic TAPP for early postoperative pain, operative duration, return to normal activities, or short-term complications. Given the similar clinical outcomes and higher resource demands, the routine adoption of robotic TAPP in low-resource settings remains debatable. Larger, multicentre studies with longer follow-up are warranted.
Indexed as
Identifiers
42527734What 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.