Evidence map›Paper›PMID 30087357›Full record

Trial reportScientific reports2018

Evaluation of platelet indices as diagnostic biomarkers for colorectal cancer.

Xianjin Zhu, Yingping Cao, Pingxia Lu, Yanli Kang, Zhen Lin, Taisen Hao, Yanfang Song

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  18. Predictors of colorectal carcinoma and inflammatory bowel disease in patients with colonic wall thickening.JGH open : an open access journal of gastroenterology and hepatology · 2022
    Article
  19. Article
  20. [Prognostic value of preoperative platelet parameters in locally advanced renal cell carcinoma].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2021
    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

7 authors.

Xianjin ZhuDepartment of Laboratory Medicine, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, China.
Yingping CaoDepartment of Laboratory Medicine, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, China.
Pingxia LuDepartment of Laboratory Medicine, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, China.
Yanli KangDepartment of Laboratory Medicine, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, China.
Zhen LinDepartment of Laboratory Medicine, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, 350001, China.
Taisen HaoDepartment of Cancer Biology, Beckman Research Institute, City of Hope, Duarte, California, 91010, USA.
Yanfang SongDepartment of Laboratory Medicine, Clinical Laboratory, Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, 602 Bayiqi Road, Fuzhou, 350001, China. syf8881687@hotmail.com.

Funding

Natural Science Foundation of Fujian Province (Fujian Provincial Natural Science Foundation) 2016J01569
6 · The paper itself

Abstract

Altered platelet indices, including platelet count (PC), mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT), have been found in various cancer types. This study aimed to evaluate the role of platelet indices as potential biomarkers for the diagnosis of colorectal cancer (CRC), and to assess the association between platelet indices and CRC clinicopathological characteristics. The study included 783 subjects with CRC, 463 subjects with colorectal adenomas (CA), and 689 control subjects from June 2015 to October 2017. All participants' clinicopathological characteristics were collected and analyzed. Here, we found that PC, MPV and PCT levels in CRC patients were significantly higher than those in CA patients and healthy participants (p < 0.001); however, PDW level in CRC patients was significantly higher than that in healthy participants while lower than that in CA patients. Receiver-operating characteristic (ROC) analysis indicated that combined detection of PCT and CEA appears to be a more effective marker to distinguish CRC patients from CA patients, with 70% sensitivity and 83% specificity. Among CRC patients, PC and PCT levels were associated with TNM stages and tumor size; MPV and PCT levels were associated with vascular invasion. Our findings suggest that altered PC, MPV and PCT levels might serve as potential biomarkers for the diagnosis and prognosis of CRC.

Indexed as

Mean Platelet VolumeAdultAgedAged, 80 and overBiomarkers, TumorColorectal NeoplasmsFemaleHumansMaleMiddle AgedPlatelet CountPrognosisBiomarkers, Tumor

Identifiers

PMID30087357
PMCPMC6081379

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.