Proposed Good Healthspan Practice guide for N-of-1 evidence in longevity medicine
The authors propose a draft, voluntary good-practice guide (GHP) for longevity-medicine services, with a sixth module making individualized causal claims checkable; it is a working document, not a standard or certification. [1]
Automatic summary · not editorially reviewed
The key findings
The authors say longevity medicine lacks public consensus on competent service and that population-average evidence fits multi-morbid clients poorly. [1]
A sixth guide, GHP-600, requires causal claims to be registered, falsifiable and honestly reviewed. [1]
Adoption is voluntary by self-declaration with no conformity assessment, and GHP is not a standard, certification or association. [1]
The source at a glance
- Study type / format
- Proposed good-practice guide (draft, abstract)
- Population / context
- Longevity-medicine services and their multi-morbid clients, as described by the authors
- Summary based on
- Study abstract
- Publication status
- Preprint · peer-review status not confirmed
- Original publication
- September 20, 2026
Two gaps the draft guide addresses
The authors describe two gaps in longevity medicine. Practically, there is no public consensus on what competent service looks like, from inquiry to intervention review. Evidentially, typical clients are multi-morbid people receiving many interventions at once, so population-average evidence answers their questions poorly and individualized reasoning stays unregulated. The draft guide is meant to address both gaps in one design.
Supporting source [1]
Five process guides plus cross-cutting GHP-600
The draft is modular. Five process guides cover the full service cycle: inquiry, multi-omics measurement, root-cause attribution, intervention and contribution review. Root-cause attribution is described as the hard requirement the others depend on, anchored in the hallmarks of aging. A sixth guide, GHP-600, runs across all five and makes individualized causal inference checkable: causal claims must be registered, falsifiable and honestly reviewed, using tools regulators already developed for N-of-1 trials, real-world evidence and learning health systems.
Supporting source [1]
Voluntary self-declaration and cumulative records
Adoption is voluntary and by self-declaration, module by module, with no conformity assessment. Each adopted client loop yields a prediction–validation record; aggregated across adopters, these records are meant to calibrate the guide over time. In the longer run they are intended to feed biomedical world models predicting how one person responds to one intervention. The authors state GHP is not a standard under any national standardization law, not a certification and not an association; it is a public working document. The draft text (v0.2) is offered as a starting point for community discussion, not a finished code for adoption.
Supporting source [1]
How to interpret this
Abstract only; the full text was not reviewed. This is a proposed draft guide (v0.2), not a validated, certified or regulator-approved framework, and no outcome data are reported.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Xiong J, Zhang J. · europepmc.org · September 20, 2026