Evidence map›Paper›PMID 35015064›Full record

ArticleJAMA network open2022

Analysis of Platelet Count and New Cancer Diagnosis Over a 10-Year Period.

Vasily Giannakeas, Joanne Kotsopoulos, Matthew C Cheung, Laura Rosella, Jennifer D Brooks, Lorraine Lipscombe, Mohammad R Akbari, Peter C Austin, Steven A Narod

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
10.3field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Liquid biopsy in bladder cancer: towards precision oncology.Journal of translational medicine · 2026
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2 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 1 country.

Vasily GiannakeasWomen's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada.
Joanne KotsopoulosWomen's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada.
Matthew C CheungICES, Toronto, Ontario, Canada.
Laura RosellaDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Jennifer D BrooksDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Lorraine LipscombeWomen's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada.
Mohammad R AkbariWomen's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada.
Peter C AustinICES, Toronto, Ontario, Canada.
Steven A NarodWomen's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada.
Institute for Clinical Evaluative Sciences · CAPublic Health Ontario · CAUniversity of Toronto · CAWomen's College Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Individuals with cancer often have an elevated platelet count at the time of diagnosis. The extent to which an elevated platelet count is an indicator of cancer is unclear. Objective: To evaluate the association of an elevated platelet count with a cancer diagnosis. Design, Setting, and Participants: This nested case-control study included Ontario residents enrolled in the provincial health insurance plan who had 1 or more routine complete blood count (CBC) tests performed between January 1, 2007, and December 31, 2017, with follow-up through December 31, 2018. Case patients were individuals with a new cancer diagnosis during the observation period. Eligible control individuals were cancer free before the date of diagnosis for a case patient to whom they were matched. One case patient was matched to 3 controls based on sex, age, and health care use patterns. Data were analyzed from September 24, 2020, to July 13, 2021. Exposures: Case patients and controls were assigned to 1 of 5 exposure groups based on age- and sex-specific platelet count distributions in the control population: very low (≤10th percentile), low (>10th to 25th percentile), medium (>25th to <75th percentile), high (75th to <90th percentile), and very high (≥90th percentile). Main Outcomes and Measures: Odds ratios (ORs) were estimated for specific cancer sites for each category of platelet count at intervals up to 10 years after a blood test. Results: Of the 8 917 187 eligible Ontario residents with a routine CBC record available, 4 971 578 (55.8%) were women; the median age at the first CBC was 46.4 years (IQR, 32.5-59.5 years). Among individuals with a routine CBC record available, 495 341 (5.6%) received a diagnosis of first primary cancer during the 10-year observation period. The OR for a solid tumor diagnosis associated with a very high platelet count vs a medium platelet count in the 6-month period before the diagnosis was 2.32 (95% CI, 2.28-2.35). A very high platelet count was associated with colon (OR, 4.38; 95% CI, 4.22-4.54), lung (OR, 4.37; 95% CI, 4.22-4.53), ovarian (OR, 4.62; 95% CI, 4.19-5.09), and stomach (OR, 4.27; 95% CI, 3.91-4.66) cancers. Odds ratios attenuated with increasing time from CBC test to cancer diagnosis. Conclusions and Relevance: In this nested case-control study, an elevated platelet count was associated with increased risk of cancer at several sites. Our findings suggest that an elevated platelet count could potentially serve as a marker for the presence of some cancer types.

Indexed as

AdultBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedNeoplasmsOntarioPlatelet CountBiomarkers

Identifiers

PMID35015064
PMCPMC8753503
OpenAlexW4206038228

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.