Evidence map›Paper›PMID 23467296›Full record

ReviewTexas Heart Institute journal2013

Components of the complete blood count as risk predictors for coronary heart disease: in-depth review and update.

Mohammad Madjid, Omid Fatemi

Abstract readReview
In one paragraph

Review in Texas Heart Institute journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

124 citing papers in PubMed, 1 synthesis or guideline pooled it, 182 citations in OpenAlex.

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  20. Association of nocturnal hypoxemia and white blood cell count in a multicenter cohort.Sleep advances : a journal of the Sleep Research Society · 2025
    Article

64 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Mohammad MadjidTexas Heart Institute at St. Luke's Episcopal Hospital (Dr. Madjid), Houston, Texas 77030, USA. mmadjid@gmail.com
Omid Fatemi
St. Luke's Episcopal Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis is an inflammatory disease, and several inflammatory biomarkers, such as C-reactive protein, have been used to predict the risk of coronary heart disease. High white blood cell count is a strong and independent predictor of coronary risk in patients of both sexes, with and without coronary heart disease. A high number of white blood cells and their subtypes (for example, neutrophils, monocytes, lymphocytes, and eosinophils) are associated with the presence of coronary heart disease, peripheral arterial disease, and stroke. The coronary heart disease risk ratios associated with a high white blood cell count are comparable to those of other inflammatory markers, including C-reactive protein. In addition, other components of the complete blood count, such as hematocrit and the erythrocyte sedimentation rate, also are associated with coronary heart disease, and the combination of the complete blood count with the white blood cell count can improve our ability to predict coronary heart disease risk. These tests are inexpensive, widely available, and easy to order and interpret. They merit further research.

Indexed as

Blood Cell CountBiomarkersCoronary DiseaseC-Reactive ProteinErythrocyte CountHematocritHumansHydroxymethylglutaryl-CoA Reductase InhibitorsInflammation MediatorsLeukocyte CountPlatelet CountPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsBiomarkersC-Reactive ProteinHydroxymethylglutaryl-CoA Reductase InhibitorsInflammation MediatorsAtherosclerosisbiological markers/bloodcomplete blood countcoronary artery diseasecoronary heart diseaseinflammationleukocyte countwhite blood cell count

Identifiers

PMID23467296
PMCPMC3568280
OpenAlexW77922754

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.