Evidence map›Paper›PMID 24602313›Full record

ArticleBMC research notes2014

Using NU-KNIT® for hemostasis around recurrent laryngeal nerve during transthoracic esophagectomy with lymphadenectomy for esophageal cancer.

Yasushi Rino, Norio Yukawa, Tsutomu Sato, Naoto Yamamoto, Hiroshi Tamagawa, Shinichi Hasegawa, Takashi Oshima, Takaki Yoshikawa, Munetaka Masuda, Toshio Imada

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

10 authors at 3 institutions in 1 country.

Yasushi RinoDepartment of Surgery, Yokohama City University, Yokohama, Japan. rino@med.yokohama-cu.ac.jp.
Norio Yukawa
Tsutomu Sato
Naoto Yamamoto
Hiroshi Tamagawa
Shinichi Hasegawa
Takashi Oshima
Takaki Yoshikawa
Munetaka Masuda
Toshio Imada
Yokohama City University · JPKanagawa Cancer CenterSaiseikai Ibaraki Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe thought that using electrocautery for hemostasis caused recurrent laryngeal nerve palsy. We reflected the prolonged use of electrocautery and employed NU-KNIT® to achieve hemostasis nearby the recurrent laryngeal nerve. We assessed that using NU-KNIT® hemostasis prevented or not postoperative recurrent laryngeal nerve palsy, retrospectively. The present study was evaluated to compare using electrocautery hemostasis with using NU-KNIT® hemostasis during lymphadenectomy along recurrent laryngeal nerve. The variables compared were morbidity rate of recurrent laryngeal nerve palsy, operation time, and blood loss.

resultsWe use NU-KNIT® to achieve hemostasis without strong compression. This group is named group N. On the other hand, we use electrocautery to achieve hemostasis. This group is named group E. Complication rate of recurrent laryngeal nerve palsy was higher in group E (55.6%) than group N (5.3%) (p = 0.007).

conclusionsEven hemostasis using NU-KNIT® was slightly more time-consuming than using electrocautery, we concluded that it would be useful to prevent recurrent laryngeal nerve palsy.

Indexed as

AgedBlood Loss, SurgicalEsophageal NeoplasmsEsophagectomyFemaleHemostasis, SurgicalHumansLymph Node ExcisionMaleMiddle AgedOutcome Assessment, Health CarePostoperative ComplicationsRecurrent Laryngeal NerveRetrospective StudiesTime FactorsVocal Cord Paralysis

Identifiers

PMID24602313
PMCPMC3973846
OpenAlexW1987561638

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.