Evidence map›Paper›PMID 40142702›Full record

ReviewJournal of clinical medicine2025

Hair Longevity-Evidence for a Multifactorial Holistic Approach to Managing Hair Aging Changes.

Gillian E Westgate, Daniela Grohmann, Manuel Sáez Moya

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Gillian E WestgateGill Westgate Consultancy, Stevington, Bedfordshire MK43 7QT, UK.ORCID 0000-0001-6645-9568
Daniela GrohmannOlistic Research Labs SL, 08021 Barcelona, Spain.
Manuel Sáez MoyaOlistic Research Labs SL, 08021 Barcelona, Spain.ORCID 0009-0006-1293-4822

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loss of hair density-hair thinning and balding- is typically referred to as male and female pattern alopecia. Causes include genetic predisposition and links to the impact of dihydrotestosterone on the follicle dermal papilla, which are typically characterized by an increase in the number of vellus follicles. Links to chronological aging are unclear. Proven treatments remain few in number and are still targeting and tested on those experiencing classical pattern hair loss. The way hair changes with aging, especially in women, can be considered as having a much broader scope. Trends in managing changes to hair density, length, and fiber quality with aging now mostly include cocktail approaches-whether topical, injected, or oral-recognizing that solutions are more likely to require a multifactorial strategy. This review examines the evidence for the more holistic approach to addressing unwanted hair loss, which includes nutrition, lifestyle, stress management, and scalp and hair care, as well as co-morbidities with other health concerns. We discuss the strengths and limitations of clinical study design to investigate efficacy using multifactorial holistic approaches. We propose that this strategy will contribute to the emerging concept of hair longevity in which follicle, scalp, and fiber are targeted and that maintaining anagen is the most appropriate route to achieving healthy hair with aging. Finally, we discuss the problem facing patients and consumers regarding the quantity of misinformation and how it influences choosing from a fast-growing market of solutions that bypass a pharmaceutical approach to hair thinning.

Indexed as

agingalopeciahair and scalphair lossmetabolismsenescence

Identifiers

PMID40142702
PMCPMC11943383

What Socratic 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 Socratic graph.