Evidence map›Paper›PMID 31845889›Full record

ArticleeLife2019

Single-cell modeling of routine clinical blood tests reveals transient dynamics of human response to blood loss.

Anwesha Chaudhury, Geoff D Miller, Daniel Eichner, John M Higgins

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Red Blood Cell Distribution Width Is Not a Predictor of Hospital Mortality in Elderly and Nonelderly COVID-19-Infected Patients: A Prospective Study at a Brazilian Quaternary University Hospital.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Genetic therapies for the first molecular disease.The Journal of clinical investigation · 2021
    Review
  13. Article
  14. 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

4 authors.

Anwesha ChaudhuryCenter for Systems Biology and Department of Pathology, Massachusetts General Hospital, Boston, United States.ORCID 0000-0002-9945-6862
Geoff D MillerSports Medicine Research and Testing Laboratory, Salt Lake City, United States.
Daniel EichnerSports Medicine Research and Testing Laboratory, Salt Lake City, United States.
John M HigginsCenter for Systems Biology and Department of Pathology, Massachusetts General Hospital, Boston, United States.ORCID 0000-0002-9182-0076

Funding

Systems Biology of In Vivo Human Blood Cell PopulationsDP2DK098087 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI HIGGINS, JOHN MATTHEW · 2012 to 2012
$2.6M
Life Sciences Research Foundation Good Ventures FellowshipNIDDK NIH HHS DP2 DK098087NIH HHS 1DP2DK098087
6 · The paper itself

Abstract

Low blood count is a fundamental disease state and is often an early sign of illnesses including infection, cancer, and malnutrition, but our understanding of the homeostatic response to blood loss is limited, in part by coarse interpretation of blood measurements. Many common clinical blood tests actually include thousands of single-cell measurements. We present an approach for modeling the unsteady-state population dynamics of the human response to controlled blood loss using these clinical measurements of single-red blood cell (RBC) volume and hemoglobin. We find that the response entails (1) increased production of new RBCs earlier than is currently detectable clinically and (2) a previously unrecognized decreased RBC turnover. Both component responses offset the loss of blood. The model provides a personalized dimensionless ratio that quantifies the balance between increased production and delayed clearance for each individual and may enable earlier detection of both blood loss and the response it elicits.

Indexed as

Models, StatisticalAdolescentAdultBlood Cell CountErythrocyte IndicesErythrocytesFemaleHemoglobinsHemorrhageHomeostasisHumansKineticsMaleSingle-Cell AnalysisHemoglobinsanemiacellular population dynamicsclinical diagnosiscomputational biologyhematologyhumanhuman biologymedicinepersonalized medicinesingle-cell modelingsystems biology

Identifiers

PMID31845889
PMCPMC6917488

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.