Evidence map›Paper›PMID 20526628›Full record

ArticleSurgical endoscopy2010

Intraoperative hydrocolonic ultrasonography for localization of small colorectal tumors in laparoscopic surgery.

Franklin Greif, David Aranovich, Veacheslav Zilbermints, Nisim Hannanel, Alexander Belenky

Abstract read
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In one paragraph

Article in Surgical endoscopy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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

5 authors at 2 institutions in 1 country.

Franklin GreifDepartment of Surgery A, The Rabin Medical Center, Sakler Faculty of Medicine, Tel Aviv University, Beilinson Campus, Petah Tiqwa, 49100, Tel Aviv, Israel. fgreif@clalit.org.il
David Aranovich
Veacheslav Zilbermints
Nisim Hannanel
Alexander Belenky
Tel Aviv University · ILRabin Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate localization of small colorectal cancers and polyps during laparoscopic resection may be difficult and requires precise and reliable localization techniques. This study aimed to assess the usefulness of intraoperative ultrasonography (IOUS) combined with retrograde saline instillation in locating small colorectal cancers and polyps during laparoscopically assisted colectomy.

methodsThe study investigated 14 patients with left-sided lesions of the colon and rectum necessitating preoperative marking. During laparoscopically assisted colorectal surgery, the large bowel was filled with saline solution by gravity, then scanned with a 5- to 10-MHz laparoscopic ultrasound probe.

resultsIn all patients, both polyps and small cancers were clearly detected by IOUS. Furthermore, the technique was found to be easily mastered and performed. The mean detection time was 11 min. Polyps were seen as hypodense masses protruding from the bowel mucosa, whereas invasive cancers had both hypo- and hyperdense regions with sonographically appreciable penetration through bowel layers.

conclusionIntraoperative laparoscopic ultrasonography in conjunction with saline instillation can serve as a useful tool that allows the surgeon to locate small nonpalpable tumors during laparoscopically assisted resection of colorectal cancer.

Indexed as

EndosonographyLaparoscopyAgedAged, 80 and overColorectal NeoplasmsFeasibility StudiesFemaleHumansIntraoperative CareMaleMiddle AgedProspective Studies

Identifiers

PMID20526628
OpenAlexW1968893255

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.