Evidence map›Paper›PMID 39108549›Full record

ReviewSkin appendage disorders2024

The Effects of Environmental Pollutants and Exposures on Hair Follicle Pathophysiology.

Tara Samra, Rachel R Lin, Andrea D Maderal

Abstract readReview
In one paragraph

Review in Skin appendage disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Gray Hair: From Preventive to Treatment.Clinical, cosmetic and investigational dermatology · 2025
    Review
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.

Tara SamraDr. Philip Frost Department of Dermatology and Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, FL, USA.
Rachel R LinDr. Philip Frost Department of Dermatology and Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, FL, USA.
Andrea D MaderalDr. Philip Frost Department of Dermatology and Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Environmental exposures profoundly impact cutaneous physiology, with hair follicles (HFs) being particularly vulnerable due to their high levels of proliferation and perfusion. HFs are exposed directly to contaminants that are absorbed transcutaneously and exposed indirectly to ingested and inhaled pollutants via the bloodstream. Summary: Some pollutants, such as particulate matter, trigger inflammatory responses and have been associated with alopecia areata. Others, like tobacco smoke and phthalates, exert endocrine effects with unclear ramifications for HF function. Pesticides and heavy metals have both been linked to alopecia areata and acute anagen effluvium, while polyaromatic hydrocarbons - ligands of aryl hydrocarbon receptors - are linked to androgenetic alopecia. Finally, UV exposure, which has increased due to anthropogenic ozone depletion, causes oxidative damage and perifollicular mast cell degranulation. Key Messages: Pollutants have far-reaching consequences for hair pathology, which remain incompletely characterized. The effects of environmental exposures on HFs are an active area of research that deserve further attention.

Indexed as

AlopeciaAlopecia areataAndrogenetic alopeciaCicatricial alopeciaEnvironmental dermatologyEpidermal barrierHair sciencePollutants

Identifiers

PMID39108549
PMCPMC11299971

What OpenQuestion holds

Textmetadata
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.