Evidence map›Paper›PMID 25159651›Full record

ArticleSurgical endoscopy2015

Robotic surgery for rectal cancer can overcome difficulties associated with pelvic anatomy.

Se Jin Baek, Chang Hee Kim, Min Soo Cho, Sung Uk Bae, Hyuk Hur, Byung Soh Min, Seung Hyuk Baik, Kang Young Lee, Nam Kyu Kim

Open access · greenAbstract readComparative StudyEvaluation Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 7 pooled it
4.0field-weighted citation impact, top 5% 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

75 citing papers in PubMed, 7 syntheses or guidelines pooled it, 126 citations in OpenAlex.

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  15. Influence of computed tomography-based pelvimetric parameters and surgical approaches on surgical difficulty in mid‑low rectal cancer.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2025
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15 more citing papers are in PubMed but not listed here.

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

9 authors at 1 institution in 1 country.

Se Jin BaekDivision of Colon and Rectal Surgery, Department of Surgery, Yonsei University College of Medicine, 50 Yonsei-ro Seodaemun-gu, Seoul, 120-527, South Korea, xezin79@gmail.com.
Chang Hee Kim
Min Soo Cho
Sung Uk Bae
Hyuk Hur
Byung Soh Min
Seung Hyuk Baik
Kang Young Lee
Nam Kyu Kim
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTotal mesorectal excision (TME) for rectal cancer can be challenging to perform in the presence of difficult pelvic anatomy. In our previous studies based on open and laparoscopic TME, we found that pelvic MRI-based pelvimetry could well reflect anatomical difficulty of the pelvis and operative time increased in direct proportion to the difficulty. We explored different outcomes of robotic surgery for TME based on classifications of difficult pelvic anatomies to determine whether this method can overcome these challenges.

methodsWe reviewed data from 182 patients who underwent robotic surgery for rectal cancer between January 2008 and August 2010. Patient demographics, pathologic outcomes, pelvimetric results, and operative and postoperative outcomes were assessed. The data were compared between easy, moderate, and difficult groups classified by MRI-based pelvimetry.

resultsComparing the three groups, there was no difference between the groups in terms of operative and pathologic outcomes, including operation time. High BMI, history of preoperative chemoradiotherapy, and lower tumor levels were significantly associated with longer operation time (p < 0.001, p < 0.001, p = 0.009), but the pelvimetric parameter was not.

conclusionThere was no difference between the easy, moderate, and difficult groups in terms of surgical outcomes, such as operation time, for robotic rectal surgery. The robot system can provide more comfort during surgery for the surgeon, and may overcome challenges associated with difficult pelvic anatomy.

Indexed as

AdenocarcinomaAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOperative TimePelvimetryPelvisRectal NeoplasmsRectumRobotic Surgical ProceduresTreatment Outcome

Identifiers

PMID25159651
OpenAlexW2049724848

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.