Evidence map›Paper›PMID 36615870›Full record

ArticleNutrients2023

The Association between Sugar-Sweetened Beverages and Male Pattern Hair Loss in Young Men.

Xiaojin Shi, Hsiaohan Tuan, Xiaona Na, Haibing Yang, Yucheng Yang, Yulin Zhang, Menglu Xi, Yuefeng Tan, Celi Yang, Junhan Zhang and 1 more

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Androgenetic alopecia.Nature reviews. Disease primers · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Role and Mechanisms of Phytochemicals in Hair Growth and Health.Pharmaceuticals (Basel, Switzerland) · 2023
    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

11 authors.

Xiaojin ShiVanke School of Public Health, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-1738-2856
Hsiaohan TuanDepartment of Dermatology, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China.
Xiaona NaVanke School of Public Health, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-0107-252X
Haibing YangVanke School of Public Health, Tsinghua University, Beijing 100084, China.
Yucheng YangVanke School of Public Health, Tsinghua University, Beijing 100084, China.
Yulin ZhangVanke School of Public Health, Tsinghua University, Beijing 100084, China.
Menglu XiVanke School of Public Health, Tsinghua University, Beijing 100084, China.
Yuefeng TanVanke School of Public Health, Tsinghua University, Beijing 100084, China.
Celi YangVanke School of Public Health, Tsinghua University, Beijing 100084, China.
Junhan ZhangVanke School of Public Health, Tsinghua University, Beijing 100084, China.
Ai ZhaoVanke School of Public Health, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed this study to investigate the association between sugar-sweetened beverage (SSB) consumption and male pattern hair loss (MPHL) in young men. We conducted this cross-sectional study from January to April 2022 in mainland China. Young people aged 18-45 years (

Indexed as

Sugar-Sweetened BeveragesAdolescentAlopeciaBeveragesCross-Sectional StudiesHumansLife StyleMaleSurveys and Questionnairesadultmalemale pattern hair losssugar-sweetened beveragesyouth

Identifiers

PMID36615870
PMCPMC9824121

What OpenQuestion holds

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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.