PFLPhysiological Fitness Landscape

Work with us

What we already have

Six studies in hand: NHANES, HRS, Wisconsin Longitudinal Study, ELSA, CRELES, MIDUS. Details of each study.

We need a second long-term study

Our results on how people change over time come from 16 years of the Health and Retirement Study. Before we claim the map predicts individual routes, that finding has to hold in another study. We are looking for studies with:

  • repeated biomarker measurements, ideally three or more timepoints
  • routine clinical markers: lipids, glucose, HbA1c, creatinine or eGFR, CRP, blood pressure
  • linked death or major-event outcomes
  • any country; non-US studies are especially valuable

What we offer: an analysis plan registered and agreed with you before any data is accessed, co-authorship for study teams, and analysis run inside your environment if data cannot leave it.

Contact: Matthew Halma · [email protected]

Health systems

Dense routine labs can test whether the map improves on current risk scores. A retrospective check inside your environment is the first step.

Funders

Five stages. Each one starts only if the stage before it meets its "proceed if" test.

  1. DoneCatalogue

    The test Published patterns show up again in a national sample.

    Proceed if Most published directions match. Result

  2. RunningVariability pilot

    The test Ups and downs within a person predict death beyond their level and trend (HRS).

    Proceed if The test registered at osf.io/kzfs4 passes.

  3. Partner discussionsHealth-system test

    The test A look back at routine labs inside a partner's environment.

    Proceed if Beats current risk scores.

  4. Design onlyProspective pilot

    The test Measure, place on the map, intervene and measure again in a small group.

    Proceed if Stages 3 and 4 both pass.

The stages as a table
Each row is one stage. The next stage starts only if this one meets its "Proceed if" test.
StageThe testProceed ifStatus
1. CataloguePublished patterns show up again in a national sampleMost published directions matchDone (result)
2. Variability pilotUps and downs within a person predict death beyond their level and trend (HRS)The test registered at osf.io/kzfs4Analysis running
3. One shared mapShared curves plus a few personal numbers predict individual paths on repeated blood tests in large cohortsPredicts individual paths better than baseline risk, by a margin published before the data arriveNeeds funding
4. Health-system testA look back at routine labs inside a partner's environmentBeats current risk scoresPartner discussions
5. Prospective pilotMeasure, place on the map, intervene and measure again in a small groupStages 3 and 4 both passDesign only

Stage 3 is budgeted at $400,000 over 12 months:

  • a data scientist
  • data access and secure compute
  • the open platform
  • design of the prospective pilot

If stage 3 fails its registered threshold, the result is published and unspent funds are returned or redirected at the funder's choice. Funders receive the same thing as everyone else, sooner.

Funders: use the form below; "Funder" is chosen for you.

Get in touch

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Matthew Halma · [email protected]

Methods people and contributors: start with the open problems.