Evidence map›Paper›PMID 36451015›Full record

Trial reportJournal of general internal medicine2023

A Rational Approach to JAK2 Mutation Testing in Patients with Elevated Hemoglobin: Results from the JAK2 Prediction Cohort (JAKPOT) Study.

Benjamin Chin-Yee, Pratibha Bhai, Ian Cheong, Maxim Matyashin, Cyrus C Hsia, Eri Kawata, Jenny M Ho, Michael A Levy, Alan Stuart, Hanxin Lin and 4 more

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. External Validation of the JAKPOT Score for DiagnosingJournal of clinical medicine · 2025
    Article
  7. Review
  8. Article
  9. 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

14 authors at 3 institutions in 2 countries.

Benjamin Chin-YeeDivision of Hematology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.ORCID http://orcid.org/0000-0003-0737-3603
Pratibha BhaiMolecular Diagnostic Division, London Health Sciences Centre, London, Ontario, Canada.
Ian CheongDepartment of Pathology and Laboratory Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Maxim MatyashinDivision of Hematology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Cyrus C HsiaDivision of Hematology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Eri KawataDivision of Hematology, Panasonic Health Insurance Organization, Matsushita Memorial Hospital, Moriguchi, Osaka, Japan.
Jenny M HoDivision of Hematology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Michael A LevyMolecular Diagnostic Division, London Health Sciences Centre, London, Ontario, Canada.
Alan StuartMolecular Diagnostic Division, London Health Sciences Centre, London, Ontario, Canada.
Hanxin LinMolecular Diagnostic Division, London Health Sciences Centre, London, Ontario, Canada.
Ian Chin-YeeDivision of Hematology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Mike KadourMolecular Diagnostic Division, London Health Sciences Centre, London, Ontario, Canada.
Bekim SadikovicMolecular Diagnostic Division, London Health Sciences Centre, London, Ontario, Canada.
Alejandro Lazo-LangnerDivision of Hematology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada. alejandro.lazolangner@lhsc.on.ca.
Western University · CALondon Health Sciences Centre · CAPanasonic (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundErythrocytosis, most often measured as an increase in hemoglobin and/or hematocrit, is a common reason for referral to internal medicine and hematology clinics and a rational approach is required to effectively identify patients with polycythemia vera while avoiding over-investigation.

aimWe aimed to develop and validate a simple rule to predict JAK2 mutation positivity based on complete blood count parameters to aid in the diagnostic approach to patients referred for elevated hemoglobin.

settingInternal medicine and hematology clinics at an academic tertiary referral center.

participantsThe JAK2 Prediction Cohort (JAKPOT), a large retrospective cohort (n = 901) of patients evaluated by internal medicine and hematology specialists for elevated hemoglobin.

designJAK2 mutation analysis was performed in all patients and clinical and laboratory variables were collected. Patients were randomly divided into derivation and validation cohorts. A prediction rule was developed using data from the derivation cohort and tested in the validation cohort. KEY

resultsThe JAKPOT prediction rule included three variables: (i) red blood cell count >6.45×10

conclusionIn patients with elevated hemoglobin, the use of a simple prediction rule helps to accurately identify patients with a low likelihood of having a JAK2 mutation, potentially limiting costly over-investigation in this common referral population.

Indexed as

PolycythemiaPolycythemia VeraHemoglobinsHumansJanus Kinase 2MutationRetrospective StudiesHemoglobinsJAK2 protein, humanJanus Kinase 2

Identifiers

PMID36451015
PMCPMC10271984
OpenAlexW4310565668

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.