Evidence map›Paper›PMID 28304375›Full record

ArticleScientific reports2017

External validation of a COPD prediction model using population-based primary care data: a nested case-control study.

Bright I Nwaru, Colin R Simpson, Aziz Sheikh, Daniel Kotz

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Personalized medicine for patients with COPD: where are we?International journal of chronic obstructive pulmonary disease · 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

4 authors at 4 institutions in 4 countries.

Bright I NwaruAsthma UK Centre for Applied Research, Centre for Medical Informatics, Usher Institute of Population Health Sciences, The University of Edinburgh, UK.
Colin R SimpsonAsthma UK Centre for Applied Research, Centre for Medical Informatics, Usher Institute of Population Health Sciences, The University of Edinburgh, UK.
Aziz SheikhAsthma UK Centre for Applied Research, Centre for Medical Informatics, Usher Institute of Population Health Sciences, The University of Edinburgh, UK.
Daniel KotzAsthma UK Centre for Applied Research, Centre for Medical Informatics, Usher Institute of Population Health Sciences, The University of Edinburgh, UK.
Asthma UK · GBAsthma UK Centre for Applied ResearchMaastricht University Medical Centre · NLTampere University · FI

Funding

Medical Research Council MC_PC_13040Medical Research Council MR/K007017/1Medical Research Council MR/M501633/1Medical Research Council MR/M501633/2
6 · The paper itself

Abstract

Emerging models for predicting risk of chronic obstructive pulmonary disease (COPD) require external validation in order to assess their clinical value. We validated a previous model for predicting new onset COPD in a different database. We randomly drew 38,597 case-control pairs (total N = 77,194) of individuals aged ≥35 years and matched for sex, age, and general practice from the United Kingdom Clinical Practice Research Datalink database. We assessed accuracy of the model to discriminate between COPD cases and non-cases by calculating area under the receiver operator characteristic (ROC

Indexed as

Models, BiologicalPrimary Health CareAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedOdds RatioPrognosisPulmonary Disease, Chronic ObstructiveReproducibility of ResultsRisk FactorsROC Curve

Identifiers

PMID28304375
PMCPMC5356333
OpenAlexW2597054767

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.