Evidence map›Paper›PMID 27460130›Full record

ArticleSurgical case reports2016

Laparoscopic total pelvic exenteration using transanal minimal invasive surgery technique with en bloc bilateral lymph node dissection for advanced rectal cancer.

Kengo Hayashi, Masanori Kotake, Daiki Kakiuchi, Sho Yamada, Masahiro Hada, Yosuke Kato, Chikashi Hiranuma, Kaeko Oyama, Takuo Hara

Abstract read
In one paragraph

Article in Surgical case reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

9 authors.

Kengo HayashiDepartment of Surgery, Koseiren Takaoka Hospital, 5-10, Eirakucho, Takaoka, Toyama, 933-8555, Japan. hayashi03149@kouseiren-ta.or.jp.ORCID http://orcid.org/0000-0001-7098-1228
Masanori KotakeDepartment of Surgery, Koseiren Takaoka Hospital, 5-10, Eirakucho, Takaoka, Toyama, 933-8555, Japan.
Daiki KakiuchiDepartment of Surgery, Koseiren Takaoka Hospital, 5-10, Eirakucho, Takaoka, Toyama, 933-8555, Japan.
Sho YamadaDepartment of Surgery, Koseiren Takaoka Hospital, 5-10, Eirakucho, Takaoka, Toyama, 933-8555, Japan.
Masahiro HadaDepartment of Surgery, Koseiren Takaoka Hospital, 5-10, Eirakucho, Takaoka, Toyama, 933-8555, Japan.
Yosuke KatoDepartment of Surgery, Koseiren Takaoka Hospital, 5-10, Eirakucho, Takaoka, Toyama, 933-8555, Japan.
Chikashi HiranumaDepartment of Surgery, Koseiren Takaoka Hospital, 5-10, Eirakucho, Takaoka, Toyama, 933-8555, Japan.
Kaeko OyamaDepartment of Surgery, Koseiren Takaoka Hospital, 5-10, Eirakucho, Takaoka, Toyama, 933-8555, Japan.
Takuo HaraDepartment of Surgery, Koseiren Takaoka Hospital, 5-10, Eirakucho, Takaoka, Toyama, 933-8555, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 59-year-old man presenting with fecal occult blood visited our hospital. He was diagnosed with advanced lower rectal cancer, which was contiguous with the prostate and the left seminal vesicle. There were no metastatic lesions with lymph nodes or other organs. We performed laparoscopic total pelvic exenteration (LTPE) using transanal minimal invasive surgery technique with bilateral en bloc lateral lymph node dissection for advanced primary rectal cancer after neoadjuvant chemoradiotherapy. The total operative time was 760 min, and the estimated blood loss was 200 ml. LTPE is not well established technically, but it has many advantages including good visibility of the surgical field, less blood loss, and smaller wounds. A laparoscopic approach may be an appropriate choice for treating locally advanced lower rectal cancer, which requires TPE.

Identifiers

PMID27460130
PMCPMC4961659

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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.