Evidence map›Paper›PMID 24999461›Full record

ArticleAnnals of coloproctology2014

Preoperative Localization of Early Colorectal Cancer or a Malignant Polyp by Using the Patient's Own Blood.

Seung Hwan Lee, Do Yoon Kim, Seung Yeop Oh, Kwang Jae Lee, Kwang Wook Suh

Open access · goldAbstract read
In one paragraph

Article in Annals of coloproctology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Seung Hwan LeeColon Cancer Center, Ajou University School of Medicine, Suwon, Korea.
Do Yoon KimColon Cancer Center, Ajou University School of Medicine, Suwon, Korea.
Seung Yeop OhColon Cancer Center, Ajou University School of Medicine, Suwon, Korea.
Kwang Jae LeeColon Cancer Center, Ajou University School of Medicine, Suwon, Korea.
Kwang Wook SuhColon Cancer Center, Ajou University School of Medicine, Suwon, Korea.
Ajou University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePreoperative localization is the most important preparation for laparoscopic surgery. Preoperative marking with India ink has widely been used and is considered to be safe and effective. However, India ink can cause significant inflammation, adhesions and bowel obstruction. Therefore, we have used the patient's blood instead of the ink since 2011. In this retrospective study, we wanted to examine the feasibility of preoperative localization by using the patient's blood.

methodsTwenty-five patients who underwent preoperative localization in which 10 mL of their own venous blood was used as a tattooing agent were included in this study. The characteristics of the patients, the anatomy of the colon cancer, and the efficacy and the side effects of using this procedure were analyzed.

resultsIn 23 cases (92%), through the laparoscope, we found perfectly localized bloody smudges in the serosa. However, in 2 cases (8%), we could not find the exact location of the lesion. No patients showed any complications.

conclusionPreoperative localization of early colon cancer or a malignant polyp by using patient's blood is feasible, safe and simple. We think that using the patient's blood for localization of a lesion is better than using some other foreign material such as India ink.

Indexed as

BloodColon neoplasmsLaparoscopyPreoperative proceduresTattooing

Identifiers

PMID24999461
PMCPMC4079808
OpenAlexW1988572767

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.