Evidence map›Paper›PMID 25691355›Full record

ArticleAmerican journal of hematology2015

Modulation of red blood cell population dynamics is a fundamental homeostatic response to disease.

Harsh H Patel, Hasmukh R Patel, John M Higgins

Open access · bronzeAbstract read
In one paragraph

Article in American journal of hematology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

73 citing papers in PubMed, 1 synthesis or guideline pooled it, 126 citations in OpenAlex.

  1. Pooled it
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  12. Integrating the AEuropean journal of medical research · 2025
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13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Harsh H PatelCenter for Systems Biology and Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Hasmukh R Patel
John M Higgins
Center for Systems Biology · US

Funding

Multiscale Modeling of Sickle Cell Anemia: Methods and ValidationU01HL114476 · NHLBI · BROWN UNIVERSITY · PI DAO, MING, HIGGINS, JOHN MATTHEW · 2013 to 2017
$3.9M
Systems Biology of In Vivo Human Blood Cell PopulationsDP2DK098087 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI HIGGINS, JOHN MATTHEW · 2012 to 2012
$2.6M
Quantitative Analysis of Blood Flow in Sickle Cell DiseaseK08DK083242 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI HIGGINS, JOHN MATTHEW · 2008 to 2012
$796k
NHLBI NIH HHS U01 HL114476NIDDK NIH HHS DP2 DK098087NIDDK NIH HHS DP2DK098087NIDDK NIH HHS K08 DK083242NIDDK NIH HHS K08DK083242
6 · The paper itself

Abstract

Increased red blood cell (RBC) volume variation (RDW) has recently been shown to predict a wide range of mortality and morbidity: death due to cardiovascular disease, cancer, infection, renal disease, and more; complications in heart failure and coronary artery disease, advanced stage and worse prognosis in many cancers, poor outcomes in autoimmune disease, and many more. The mechanisms by which all of these diseases lead to increased RDW are unknown. Here we use a semi-mechanistic mathematical model of in vivo RBC population dynamics to dissect the factors controlling RDW and show that elevated RDW results largely from a slight reduction in the in vivo rate of RBC turnover. RBCs become smaller as they age, and a slight reduction in the rate of RBC turnover allows smaller cells to continue circulating, expanding the low-volume tail of the RBC population's volume distribution, and thereby increasing RDW. Our results show that mildly extended RBC lifespan is a previously unrecognized homeostatic adaptation common to a very wide range of pathologic states, likely compensating for subtle reductions in erythropoietic output. A mathematical model-based estimate of the clearance rate may provide a novel early-warning biomarker for a wide range of morbidity and mortality.

Indexed as

Erythrocyte IndicesModels, BiologicalBiomarkersCardiovascular DiseasesErythrocytesErythrocyte VolumeErythropoiesisHomeostasisHumansPrognosisBiomarkers

Identifiers

PMID25691355
PMCPMC4717489
OpenAlexW1545858924

What OpenQuestion holds

Textmetadata
LicenceTDM
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.