Evidence map›Paper›PMID 28870183›Full record

ArticleBMC women's health2017

Differences in drug use between men and women: an Italian cross sectional study.

Daria Putignano, Dario Bruzzese, Valentina Orlando, Denise Fiorentino, Alessia Tettamanti, Enrica Menditto

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC women's health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
6.9field-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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Drug-utilisation profiles and COVID-19.Scientific reports · 2021
    Article
  6. Article
  7. Gender Differences in Medication Use: A Drug Utilization Study Based on Real World Data.International journal of environmental research and public health · 2020
    Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. New Nanotechnologies for the Treatment and Repair of Skin Burns Infections.International journal of molecular sciences · 2020
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Sirtuins and SIRT6 in Carcinogenesis and in Diet.International journal of molecular sciences · 2019
    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

6 authors at 2 institutions in 1 country.

Daria PutignanoCIRFF, Center of Pharmacoeconomics, Federico II University of Naples, via Domenico Montesano 49, Naples, Italy.
Dario BruzzeseDepartment of Public Health, Federico II University of Naples, Via Pansini, 5, Naples, 80131, Italy.
Valentina OrlandoCIRFF, Center of Pharmacoeconomics, Federico II University of Naples, via Domenico Montesano 49, Naples, Italy.
Denise FiorentinoCIRFF, Center of Pharmacoeconomics, Federico II University of Naples, via Domenico Montesano 49, Naples, Italy.
Alessia TettamantiQuintilesIMS RWE , Milan, Italy.
Enrica MendittoCIRFF, Center of Pharmacoeconomics, Federico II University of Naples, via Domenico Montesano 49, Naples, Italy. enrica.menditto@unina.it.ORCID http://orcid.org/0000-0001-8633-5650
Federico II University Hospital · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrugs are the most important treatment option for most diseases, and the majority of medical consultations result in a prescription. Women and men receive different drug prescriptions and differ in therapeutic response to pharmacological therapy. This disparity is due to biological factors (sex differences) or/and behavior, lifestyle and life experience (gender differences). Sex differences in drug use have been demonstrated in several therapeutic areas; however, there is a lack of overviews on sex and gender differences of drug use in an entire population.

methodsWe conducted a descriptive cross - sectional drug use study, involving the entire Italian population in 2012, aimed at showing and analyzing differences between men and women as regards their exposure to drugs. The data source was IMS LifeLink Treatment DynamicsTMLRx Database and it included all prescribed drugs reimbursed by the Italian National Healthcare System in 2012 and covered 90% of the entire Italian population. The information about the prescriptions was stratified by men and women and age. Drug consumption was expressed as DDD/ 1000 ab die. Exposure to drug prescriptions was expressed as period prevalence (the proportion of the population dispensed ≥1 prescription in 2012 per 1000 inhabitants). Differences of prevalence between men and women were expressed as crude and age adjusted risk ratios with 95% CI.

resultsOur findings suggested that the largest differences in drug prescriptions regarded drugs affecting bone structure and mineralization (RR 15.9), calcium (RR 8.6) and thyroid therapy (RR 5.4), dispensed more to women than men. Otherwise ACE inhibitors were more commonly used in men.

conclusionsThis is the first study exploring difference in drug use between men and women and carried out on the entire Italian population. Our findings showed substantial differences between men and women in term of prevalence of drug prescriptions. Some differences in drug use may be explained by sex differences (variations in disease prevalence and severity, pathophysiology, or by other biological differences), other differences need further investigation to explain the apparent lack of a rational medical explanation for some findings. The findings may subsequently be used to plan future studies to address differences suggesting inequity in treatment approaches.

Indexed as

Attitude to HealthPrescription DrugsAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansItalyMaleMiddle AgedSex FactorsPrescription DrugsDrug useManPrescriptionPrevalenceWoman

Identifiers

PMID28870183
PMCPMC5583764
OpenAlexW2750800656

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.