Evidence map›Paper›PMID 29265699›Full record

Trial reportAsian journal of endoscopic surgery2018

Optimal timing of preoperative indocyanine green administration for fluorescent cholangiography during laparoscopic cholecystectomy using the PINPOINT® Endoscopic Fluorescence Imaging System.

Nobuhiro Tsutsui, Masashi Yoshida, Hikaru Nakagawa, Eisaku Ito, Ryota Iwase, Norihiko Suzuki, Tomonori Imakita, Hironori Ohdaira, Masaki Kitajima, Katsuhiko Yanaga and 1 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Asian journal of endoscopic surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  16. Review
  17. Indocyanine green: The guide to safer and more effective surgery.World journal of gastrointestinal surgery · 2024
    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

11 authors at 2 institutions in 1 country.

Nobuhiro TsutsuiDepartment of Surgery, International University of Health and Welfare Hospital, Nasushiobara, Japan.
Masashi YoshidaDepartment of Surgery, International University of Health and Welfare Hospital, Nasushiobara, Japan.
Hikaru NakagawaDepartment of Surgery, International University of Health and Welfare Hospital, Nasushiobara, Japan.
Eisaku ItoDepartment of Surgery, International University of Health and Welfare Hospital, Nasushiobara, Japan.
Ryota IwaseDepartment of Surgery, International University of Health and Welfare Hospital, Nasushiobara, Japan.
Norihiko SuzukiDepartment of Surgery, International University of Health and Welfare Hospital, Nasushiobara, Japan.
Tomonori ImakitaDepartment of Surgery, International University of Health and Welfare Hospital, Nasushiobara, Japan.
Hironori OhdairaDepartment of Surgery, International University of Health and Welfare Hospital, Nasushiobara, Japan.
Masaki KitajimaDepartment of Surgery, International University of Health and Welfare Hospital, Nasushiobara, Japan.
Katsuhiko YanagaDepartment of Surgery, Jikei University School of Medicine, Tokyo, Japan.
Yutaka SuzukiDepartment of Surgery, International University of Health and Welfare Hospital, Nasushiobara, Japan.
International University of Health and Welfare · JPJikei University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe PINPOINT® Endoscopic Fluorescence Imaging System (Novadaq, Mississauga, Canada) allows surgeons to visualize the bile ducts during laparoscopic cholecystectomy. Surgeons can continue operation while confirming the bile ducts' fluorescence with a bright-field/color image. However, strong fluorescence of the liver can interfere with the surgery. Here, we investigated the optimal timing of indocyanine green administration to allow fluorescent cholangiography to be performed without interference from the liver fluorescence.

methodsA total of 72 patients who underwent laparoscopic cholecystectomy were included in this study. The timing of indocyanine green administration was set immediately before surgery and at 3, 6, 9, 12, 15, 18, and 24 h before surgery. The luminance intensity ratios of gallbladder/liver, cystic duct/liver, and common bile duct/liver were measured using the ImageJ software (National Institutes of Health, Bethesda, USA). Visibility of the gallbladder and bile ducts was classified into three categories (grades A, B, and C) based on the degree of visibility in contrast to the liver.

resultsThe luminance intensity ratio for the gallbladder/liver, cystic duct/liver, and common bile duct/liver was ≥1 in the 15-, 18-, and 24-h groups. The proportion of cases in which evaluators classified the visibility of the gallbladder and bile ducts as grade A (best visibility) reached a peak in the 15-h group and decreased thereafter.

conclusionsIn the present study, the optimal timing of indocyanine green administration for fluorescent cholangiography during laparoscopic cholecystectomy using the PINPOINT Endoscopic Fluorescence Imaging System was 15 h before surgery.

Indexed as

CholangiographyCholecystectomy, LaparoscopicOptical ImagingAdultAgedColoring AgentsDrug Administration ScheduleEndoscopyFemaleFluorescenceGallbladder DiseasesHumansIndocyanine GreenMaleMiddle AgedColoring AgentsIndocyanine GreenFluorescent cholangiographylaparoscopic cholecystectomyPINPOINT® Endoscopic Fluorescence Imaging System

Identifiers

PMID29265699
PMCPMC6099380
OpenAlexW2776510039

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.