Evidence map›Paper›PMID 32655825›Full record

ArticleAmerican journal of translational research2020

Cigarette smoking affects the differences between male and female phenotypes.

Ilaria Campesi, Luigi Milella, Mario Palermo, Giovanni Sotgiu, Giorgio Reggiardo, Flavia Franconi

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Sex-Gender-Based Differences in Metabolic Diseases.Handbook of experimental pharmacology · 2023
    Review
  6. The Person's Care Requires a Sex and Gender Approach.Journal of clinical medicine · 2021
    Review
  7. Review
  8. 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

6 authors at 5 institutions in 2 countries.

Ilaria CampesiDipartimento di Scienze Biomediche, Università degli Studi di Sassari Viale San Pietro 43, Sassari, Italy.
Luigi MilellaDipartimento di Scienze, Università degli Studi della Basilicata Viale dell'Ateneo Lucano 10, Potenza, Italy.
Mario PalermoUnità Operativa di Endocrinologia, Azienda Ospedaliero Universitaria di Sassari Viale S. Pietro 43/b, Sassari, Italy.
Giovanni SotgiuDipartimento di Scienze Mediche Chirurgiche e Sperimentali Viale S. Pietro 43, Sassari, Italy.
Giorgio ReggiardoDipartimento di Biostatistica, Medi Service, World Trade Center Via De Marini 1, Genova, Italy.
Flavia FranconiLaboratorio di Medicina e Farmacologia di Genere, Istituto Nazionale Biostrutture Biosistemi Viale S. Pietro 43, Sassari, Italy.
University of Sassari · ITAzienda Ospedaliero Universitaria di Sassari · ITIstituto Nazionale Biostrutture e Biosistemi · ITUniversity of Basilicata · ITWorld Trade Organization · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSex-gender medicine focuses on differences and similarities in health and disease between men and women. The present study focused on the existence of male and female phenotypes when routine demographic, biochemical and haematological data are considered and aimed to determine the influence of smoking on phenotypes and evaluate the role of body weight on sex-gender differences in view of the fact that some of them can be utilized as biomarkers of diagnosis, diseases and therapeutic response.

methodsEighty-five healthy young adult men (27 smokers and 58 non-smokers) and 85 women (32 smokers and 53 non-smokers) well matched for age were enrolled. 31 haematochemical parameters were measured and data were analysed before and after normalization for body weight applying the two-way analysis of variance and principal component analysis (PCA).

resultsIn non-smoking cohorts, there were numerous sex-gender differences and PCA analysis distinguished two different phenotypes: males and females. Body weight normalization induced qualitatively and quantitatively changes, but male and female phenotypes were still well evident. Smoking influenced numerous parameters and PCA analysis evidenced that these changes led to the abolition of male and female phenotypes.

conclusionsPersonalized medicine has the goals to study modification of markers profile in the single individual, which is strongly influenced by sex-gender and smoking habit. In non-smokers, male and female phenotypes are present independently from the quantitation method used. In smokers only one phenotype is present. These results suggest that smoking and sex-gender should be considered as an independent variable in clinical research.

Indexed as

body weightphenotypeSex-gender differencessmoking habit

Identifiers

PMID32655825
PMCPMC7344104
OpenAlexW3043578674

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.