Evidence map›Paper›PMID 22740949›Full record

ArticleOncology letters2012

Molecular pathological diagnosis for early esophageal cancer in Kazakh patients.

Idiris Awut, Madiniyet Niyaz, Hadeti Biekemitoufu, Zhu Zhang, Ilyar Sheyhedin, Wen Hao

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2012. 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
0.6field-weighted citation impact, top 28% 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, 4 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Idiris AwutDepartment of Thoracic Surgery, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, P.R. China.
Madiniyet Niyaz
Hadeti Biekemitoufu
Zhu Zhang
Ilyar Sheyhedin
Wen Hao
First Affiliated Hospital of Xinjiang Medical University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosome abnormalities in cancer cells occur early in carcinogenesis. We employed DNA probes for the detection of cancer cells in surgical specimens in Kazakh patients with suspected esophageal carcinoma, to analyze the application of this technique during the early diagnosis of esophageal cancer. Comparative analysis was used to compare the results of pathological diagnosis with the results of FISH. We performed esophagofiberscopic biopsy examinations in 50 Kazakh patients with suspected esophageal carcinoma, including 40 males and 10 females, with an average age of 56.8 years. The final diagnosis was esophageal squamous cell carcinoma in 47 patients, and adenocarcinoma, mucinous carcinoma and small cell carcinoma in one patient each. The pathological findings of the biopsy were positive in 45 cases, and false-negative in 5. The sensitivity and specificity of pathological diagnosis were 87.2 and 100%, respectively. Using FISH to examine the same tissues, we found that 48 cases showed aberrant copy numbers in either chromosome 3 or 17, and 2 cases were false-negative, with a sensitivity and specificity of 94.8 and 100%, respectively. The copy numbers of centromeres in chromosome 3 were significantly higher than the copy numbers of centromeres in chromosome 17 (P=0.0001). Compared with biopsy pathology, the FISH test was more sensitive. Being an objective and qualitative method, the technology of molecular pathological diagnosis may effectively increase the early diagnostic rate of esophageal cancer. In addition, the centromere probe in chromosome 3 may be the most sensitive probe for the diagnosis of esophageal cancer in Kazakh patients.

Identifiers

PMID22740949
PMCPMC3362511
OpenAlexW2030734718

What OpenQuestion holds

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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.