Evidence map›Paper›PMID 26629987›Full record

ReviewCOPD2016

Epidemiology of Chronic Obstructive Pulmonary Disease (COPD) in Aging Populations.

Carlos A Vaz Fragoso

Abstract readReview
In one paragraph

Review in COPD, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.8field-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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Targeting Aging Pathways in Chronic Obstructive Pulmonary Disease.International journal of molecular sciences · 2020
    Review
  13. GPs should not try to detect mild COPD.NPJ primary care respiratory medicine · 2020
    Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. 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

1 author at 1 institution in 1 country.

Carlos A Vaz Fragosoa 1 Veterans Affairs Clinical Epidemiology Research Center , West Haven , Connecticut , USA.
Yale University · US

Funding

Respiratory Impairment in Aging PopulationsI01CX000927 · VA · VA CONNECTICUT HEALTHCARE SYSTEM · PI FRAGOSO, CARLOS A. VAZ · 2014 to 2016
–
CSRD VA I01 CX000927
6 · The paper itself

Abstract

Current epidemiologic practice evaluates COPD based on self-reported symptoms of chronic bronchitis, self-reported physician-diagnosed COPD, spirometry confirmed airflow obstruction, or emphysema diagnosed by volumetric computed chest tomography (CT). Because the highest risk population for having COPD includes a predominance of middle-aged or older persons, aging related changes must also be considered, including: 1) increased multimorbidity, polypharmacy, and severe deconditioning, as these identify mechanisms that underlie respiratory symptoms and can impart a complex differential diagnosis; 2) increased airflow limitation, as this impacts the interpretation of spirometry confirmed airflow obstruction; and 3) "senile" emphysema, as this impacts the specificity of CT-diagnosed emphysema. Accordingly, in an era of rapidly aging populations worldwide, the use of epidemiologic criteria that do not rigorously consider aging related changes will result in increased misidentification of COPD and may, in turn, misinform public health policy and patient care.

Indexed as

AgingAgedAged, 80 and overGlobal HealthHumansMiddle AgedMorbidityPulmonary Disease, Chronic ObstructiveSurvival RateagingCOPDepidemiologyGOLDspirometry

Identifiers

PMID26629987
PMCPMC6094385
OpenAlexW2189318077

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.