Evidence map›Paper›PMID 28815175›Full record

ReviewStem cell investigation2017

Platelet-rich plasma-an 'Elixir' for treatment of alopecia: personal experience on 117 patients with review of literature.

Suruchi Garg, Shweta Manchanda

Open access · hybridAbstract readReview
In one paragraph

Review in Stem cell investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Signaling pathways in hair aging.Frontiers in cell and developmental biology · 2023
    Review
  11. Article
  12. Article
  13. Platelet-Rich Plasma in Androgenetic Alopecia.Indian dermatology online journal · 2021
    Article
  14. Article
  15. Article
  16. Polycystic ovary syndrome: definition, aetiology, diagnosis and treatment.Nature reviews. Endocrinology · 2018 · on this map
    Review
  17. Review
  18. 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

2 authors at 1 institution in 1 country.

Suruchi GargDepartment of Dermatology and Aesthetic Surgery, Aura Skin Institute, Chandigarh, India.
Shweta ManchandaDepartment of Dermatology and Aesthetic Surgery, Aura Skin Institute, Chandigarh, India.
Institute of Microbial Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Platelet-rich plasma (PRP) has emerged as a new treatment modality in regenerative plastic surgery and dermatology. PRP is a simple, cost-effective and feasible treatment option with high patient satisfaction for hair loss and can be regarded as a valuable adjuvant treatment modality for androgenic alopecia and other types of non-scarring alopecias. Authors have proposed a hair model termed "Golden anchorage with 'molecular locking' of ectodermal and mesenchymal components for survival and integrity of hair follicle (HF)" in this article. Golden anchorage comprises of bulge stem cells, ectodermal basement membrane and bulge portion of APM. PRP with its autologous supply of millions of growth factors works on 'Golden anchorage' along with keratinocytes (PDGF), dermal papilla (IGF and fibroblast growth factor), vasculature (VEGF and PDGF) and neural cells (Nerve Growth Factor) in a multipronged manner serving as an 'elixir' for hair growth and improving overall environment.

Indexed as

alopeciaandrogenetic alopeciaplatelet growth factorsPlatelet-rich plasma (PRP)

Identifiers

PMID28815175
PMCPMC5539389
OpenAlexW2737006664

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.