Evidence map›Paper›PMID 32565958›Full record

ArticleOncology letters2020

Significant diagnostic value of circulating tumour cells in colorectal cancer.

Haijiao Yu, Ling Ma, Yubing Zhu, Wenxia Li, Lei Ding, Hong Gao

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  10. Article
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  12. Article
  13. Circulating tumor cells in the early detection of human cancers.International journal of biological sciences · 2022
    Review
  14. Application of Microfluidics in Detection of Circulating Tumor Cells.Frontiers in bioengineering and biotechnology · 2022
    Review
  15. Review
  16. Article
  17. 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.

Haijiao YuDepartment of Colorectal Tumour Surgery, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing 100038, P.R. China.
Ling MaDepartment of Colorectal Tumour Surgery, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing 100038, P.R. China.
Yubing ZhuDepartment of Colorectal Tumour Surgery, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing 100038, P.R. China.
Wenxia LiDepartment of Colorectal Tumour Surgery, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing 100038, P.R. China.
Lei DingDepartment of Colorectal Tumour Surgery, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing 100038, P.R. China.
Hong GaoDepartment of Colorectal Tumour Surgery, Beijing Shijitan Hospital Affiliated to Capital Medical University, Beijing 100038, P.R. China.
Capital Medical University · CNBeijing Shijitan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumour cells (CTCs) have potential utility in various clinical applications for cancer management. The present study focused on evaluating the diagnostic role of CTCs in colorectal cancer (CRC). A total of 89 blood samples from 59 patients diagnosed with CRC and 30 healthy individuals were collected for CTC detection. The Cyttel method is an improved CTC detection strategy, which combines negative enrichment with immunofluorescence and fluorescence

Indexed as

aneuploidycirculating tumour cellscolorectal cancerCyttel methodtumour markers

Identifiers

PMID32565958
PMCPMC7285991
OpenAlexW3017361689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.