Evidence map›Paper›PMID 31541394›Full record

ArticleInternal and emergency medicine2020

Epidemiology of idiopathic pulmonary fibrosis: a population-based study in primary care.

Sergio Harari, Michele Davì, Alice Biffi, Antonella Caminati, Alessandra Ghirardini, Valeria Lovato, Claudio Cricelli, Francesco Lapi

Abstract read
PubMed Publisher
In one paragraph

Article in Internal and emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
3.5field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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  15. Prognostic role of CHAInternal and emergency medicine · 2023
    Article
  16. Article
  17. Occurrence of Idiopathic Pulmonary Fibrosis in Italy: Latest Evidence from Real-World Data.International journal of environmental research and public health · 2022
    Observational
  18. Review
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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

8 authors at 3 institutions in 1 country.

Sergio HarariServizio Di Fisiopatologia Respiratoria Ed Emodinamica Polmonare, Unità Operativa Di Pneumologia E Terapia Semi-Intensiva Respiratoria, San Giuseppe-Multimedica IRCCS Hospital, Via San Vittore, 12, 20123, Milan, MI, Italy.
Michele DavìRoche S.P.A, Monza, Italy.
Alice BiffiServizio Di Fisiopatologia Respiratoria Ed Emodinamica Polmonare, Unità Operativa Di Pneumologia E Terapia Semi-Intensiva Respiratoria, San Giuseppe-Multimedica IRCCS Hospital, Via San Vittore, 12, 20123, Milan, MI, Italy. alicebiffi2@gmail.com.ORCID 0000-0001-9883-3876
Antonella CaminatiServizio Di Fisiopatologia Respiratoria Ed Emodinamica Polmonare, Unità Operativa Di Pneumologia E Terapia Semi-Intensiva Respiratoria, San Giuseppe-Multimedica IRCCS Hospital, Via San Vittore, 12, 20123, Milan, MI, Italy.
Alessandra GhirardiniRoche S.P.A, Monza, Italy.
Valeria LovatoRoche S.P.A, Monza, Italy.
Claudio CricelliItalian College of General Practitioners and Primary Care, Florence, Italy.
Francesco LapiHealth Search, Italian College of General Practitioners and Primary Care, Florence, Italy.
MultiMedica · ITRoche (Italy) · ITSocietà Italiana di Medicina Generale · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) is a chronic disease with unknown etiology and poor prognosis. Little is known about the epidemiology of this disease; most of the studies are limited by small and restricted cohort studies. We aim to investigate the epidemiology of IPF in the Italian primary care setting using the Health Search Database (HSD) between January 2002 and June 2017. In an attempt to define cases of IPF we adopted iterative combinations of International Classification of Diseases Ninth Revision (ICD-9-CM) and other clinical investigations according to three different operational Algorithms. Incidence and prevalence rate, according to the three Algorithms defining IPF, were calculated and the association with candidate determinants [sex, age, gastro-esophageal reflux (GERD) and smoking status] was evaluated. We identified 1,104,307 eligible patients. The prevalence rate of IPF varies between 2.6 to 24.3 per 100.000 person-year, using algorithm 1 and from 0.8 to 7 using algorithm 3. The incidence rate of IPF varies between 1.25 and 3.77 per 100.000 person-years, using algorithm 1 and from 0.10 to 1.61 using algorithm 3. The mean adjusted incidence rate ratio of IPF, using algorithm 1, is 2.33 (95% CI 2.11-2.57) per 100.000 person-years. Over the study years, the trend of prevalence was statistically significantly increasing while the incidence rate started to increase in the last 3 years. The analyses on candidate determinants showed that patients aged 61 years or older, those suffering from GERD, and former smokers were statistically significantly at greater risk of incurring IPF. To our knowledge, this is one of the first European IPF epidemiological studies conducted in primary care. The increase of the incidence rates is likely due to a growing awareness for IPF among General Practitioners, while the increase of prevalence rates may be due to an increase of survival, a result of recent advances in the diagnosis, management and therapies for the disease.

Indexed as

AdultAgedCohort StudiesFemaleHumansIdiopathic Pulmonary FibrosisIncidenceItalyMaleMiddle AgedOdds RatioPoisson DistributionPopulation SurveillancePrevalencePrimary Health CareAlgorithmsFibrotic lung diseaseGastro-esophageal refluxGeneral practitionersIdiopathic interstitial pneumoniaOutpatientRisk factors

Identifiers

PMID31541394
OpenAlexW2974442790

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.