Evidence map›Paper›PMID 32922607›Full record

ArticleInternational journal of clinical and experimental pathology2020

A DNA quantitative analysis of lung cancer cells with different pathological types from bronchial brush specimens and its clinical significance.

Yun Du, Xiao Guo, Ying Liu, Rui Wang, Juan Wu, Xiaokun Ji, Yang Ma, Lvli Dong

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

8 authors.

Yun DuDepartment of Cytology, The Fourth Hospital of Hebei Medical University Shijiazhuang, China.
Xiao GuoDepartment of Cytology, The Fourth Hospital of Hebei Medical University Shijiazhuang, China.
Ying LiuDepartment of Cytology, The Fourth Hospital of Hebei Medical University Shijiazhuang, China.
Rui WangDepartment of Cytology, The Fourth Hospital of Hebei Medical University Shijiazhuang, China.
Juan WuDepartment of Cytology, The Fourth Hospital of Hebei Medical University Shijiazhuang, China.
Xiaokun JiDepartment of Cytology, The Fourth Hospital of Hebei Medical University Shijiazhuang, China.
Yang MaDepartment of Cytology, The Fourth Hospital of Hebei Medical University Shijiazhuang, China.
Lvli DongDepartment of Cytology, The Fourth Hospital of Hebei Medical University Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the significance of a DNA quantitative analysis of lung cancer cells with different pathological types taken from bronchial brush specimens and its relationship with the clinicopathological features.

methods903 bronchial brush cytological specimens taken in the Cytology Department of the Fourth Hospital of Hebei Medical University were collected from March 2017 to December 2019 and divided into three groups: the squamous carcinoma (SC) group, the adenocarcinoma (AC) group, and the small-cell carcinoma (SCC) group. The maximum DNA index (DI) value, the percentage of cells with a DI larger than 2.5, the mean DI, and the peaks of the aneuploid cells of the three groups were compared. A single factor analysis was used to analyze the relationship between the DNA content, aneuploidy, and the clinico pathological features of the patients who had surgery.

resultsThe peaks of the aneuploid cells in the SC group, the AC group, and the SCC group had no significant differences (

conclusionThe reason why the DNA content of small-cell lung cancer is lower than SC and AC remains to be further studied.

Indexed as

adenocarcinomaclinicopathological characteristicsDNA contentsmall-cell carcinomasquamous cell carcinoma

Identifiers

PMID32922607
PMCPMC7476939

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.