Evidence map›Paper›PMID 37808854›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Hematologic setpoints are a stable and patient-specific deep phenotype.

Brody H Foy, Rachel Petherbridge, Maxwell Roth, Christopher Mow, Hasmukh R Patel, Chhaya H Patel, Samantha N Ho, Evie Lam, Konrad J Karczewski, Veronica Tozzo and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Brody H FoyCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, USA.
Rachel PetherbridgeCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, USA.
Maxwell RothDepartment of Pathology, Massachusetts General Hospital, Boston, MA, USA.
Christopher MowDepartment of Pathology, Massachusetts General Hospital, Boston, MA, USA.
Hasmukh R PatelCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, USA.
Chhaya H PatelCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, USA.
Samantha N HoCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, USA.
Evie LamCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, USA.
Konrad J KarczewskiProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Veronica TozzoCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, USA.
John M HigginsCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, USA.
Massachusetts General Hospital · USHarvard University · USBroad Institute · US

Funding

Glycemic Observation Using A1C for Gestational Diabetes DiagnosisR01HD104756 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI John Matthew Higgins, Camille Elise Powe · 2022 to 2026
$3.5M
Towards optimizing diabetes management and diagnosis by personalizing HbA1c targetsR01DK123330 · NIDDK · UNIVERSITY OF CINCINNATI · PI COHEN, ROBERT MAYNARD · 2020 to 2024
$3.4M
NICHD NIH HHS R01 HD104756NIDDK NIH HHS R01 DK123330
6 · The paper itself

Abstract

The complete blood count is an important screening tool for healthy adults and is the most commonly ordered test at periodic physical exams. However, results are usually interpreted relative to one-size-fits-all reference intervals, undermining the goal of precision medicine to tailor medical care to the needs of individual patients based on their unique characteristics. Here we show that standard complete blood count indices in healthy adults have robust homeostatic setpoints that are patient-specific and stable, with the typical healthy adult's set of 9 blood count setpoints distinguishable from 98% of others, and with these differences persisting for decades. These setpoints reflect a deep physiologic phenotype, enabling improved detection of both acquired and genetic determinants of hematologic regulation, including discovery of multiple novel loci via GWAS analyses. Patient-specific reference intervals derived from setpoints enable more accurate personalized risk assessment, and the setpoints themselves are significantly correlated with mortality risk, providing new opportunities to enhance patient-specific screening and early intervention. This study shows complete blood count setpoints are sufficiently stable and patient-specific to help realize the promise of precision medicine for healthy adults.

Identifiers

PMID37808854
PMCPMC10557837
OpenAlexW4387081156

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.