Evidence map›Paper›PMID 11855548›Full record

ArticleDigestive diseases and sciences2002

Prognostic value of expression of sialosyl-Tn antigen in colorectal carcinoma and transitional mucosa.

Tohru Nakagoe, Terumitsu Sawai, Takashi Tuji, Masaaki Jibiki, Atushi Nanashima, Hiroyuki Yamaguchi, Toru Yasutake, Hiroyoshi Ayabe, Tatuki Matuo, Yutaka Tagawa

Abstract read
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In one paragraph

Article in Digestive diseases and sciences, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 2 institutions in 1 country.

Tohru NakagoeFirst Department of Surgery, Nagasaki University School of Medicine, Japan.
Terumitsu Sawai
Takashi Tuji
Masaaki Jibiki
Atushi Nanashima
Hiroyuki Yamaguchi
Toru Yasutake
Hiroyoshi Ayabe
Tatuki Matuo
Yutaka Tagawa
Nagasaki University · JPNagasaki University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined the immunohistochemical expression of sialosyl-Tn antigen in the colorectal cancer tissues of 116 patients who underwent curative resection to determine the association between patient prognosis and the expression of sialosyl-Tn in two different tissues: carcinoma and transitional mucosa. Negative or positive expression of sialosyl-Tn in the carcinoma and transitional mucosal tissues were denoted as CA- or CA+ and TM- or TM+, respectively. Patients were classified into one of four groups: CA-/TM-, CA-/TM+, CA+/TM-, and CA+/TM+. CA-/TM- was observed in 13 patients and CA-/TM+, CA+/TM-, or CA+/TM+ was observed in 103 patients. The difference in five-year survival between the CA-/TM- group and all the other groups was statistically significant (P = 0.0457), and multivariate analysis showed that sialosyl-Tn expression in at least one of the two tissues was an independent prognostic factor. We conclude that the evaluation of sialosyl-Tn expression in carcinoma as well as transitional mucosa is useful for predicting survival in colorectal cancer patients.

Indexed as

AdenocarcinomaAntigens, Tumor-Associated, CarbohydrateBiomarkers, TumorCase-Control StudiesColorectal NeoplasmsFemaleHumansImmunoenzyme TechniquesIntestinal MucosaMaleMiddle AgedPrognosisSurvival RateTime FactorsAntigens, Tumor-Associated, CarbohydrateBiomarkers, Tumorsialosyl-Tn antigen

Identifiers

PMID11855548
OpenAlexW60362793

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.