Evidence map›Paper›PMID 36250302›Full record

ArticleInternational journal of dermatology2023

Digital health platforms expand access and improve care for male androgenetic alopecia.

Peter C Young, Chetan Mahajan, Jerry Shapiro, Antonella Tosti

Open access · hybridAbstract read
In one paragraph

Article in International journal of dermatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Peter C YoungKeeps Medical Group, New York, NY, USA.
Chetan MahajanThirty Madison, New York, NY, USA.
Jerry ShapiroThe Ronald O. Perelman Department of Dermatology, New York University Grossman School of Medicine, New York, NY, USA.
Antonella TostiDepartment of Dermatology and Cutaneous Surgery, University of Miami, Miami, FL, USA.
Buffalo Medical Group · USNew York University · USThird Way · USUniversity of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDigital health solutions, specifically direct-to-consumer platforms, have been touted to make care accessible and convenient for patients. The aim of this article is to evaluate patients' reported reasons for choosing a platform for the treatment of hair loss and their experience. This platform (Keeps) is focused exclusively on the treatment of male pattern hair loss (MPHL) with approved medications such as oral finasteride and topical minoxidil.

methodsIn order to evaluate patients' motivations to choose the platform and their experience, we administered two distinct questionnaires, with a total of 8983 respondents.

resultsThe results showed that patients on the platform report positive health outcomes at approximately 6 months, as 81% of respondents report hair regrowth or cessation of hair loss, and 91% never or rarely miss their medication. Additionally, the platform is expanding the market through education and awareness, as nearly 1 in 3 new patients, mostly in their 20s and early 30s, had never considered treating their hair loss before learning about this virtual care model.

conclusionSuch a model provides further insights into how digitally enabled care focused on a chronic condition, backed by quality and evidence-based initiatives, can expand access and improve care for androgenetic alopecia (AGA).

Indexed as

AlopeciaMinoxidilFinasterideHairHumansMaleTreatment OutcomeFinasterideMinoxidil

Identifiers

PMID36250302
PMCPMC10092577
OpenAlexW4306398794

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.