Evidence map›Paper›PMID 27803752›Full record

ArticleAnnals of thoracic medicine

Body mass index, airflow obstruction and dyspnea and body mass index, airflow obstruction, dyspnea scores, age and pack years-predictive properties of new multidimensional prognostic indices of chronic obstructive pulmonary disease in primary care.

Khalid Ansari, Niall Keaney, Andrea Kay, Monica Price, Joan Munby, Andrew Billett, Sharon Haggerty, Ian K Taylor, Hajed Al Otaibi

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of thoracic medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

9 authors at 1 institution in 1 country.

Khalid AnsariDepartment of Respiratory Care, College of Applied Medical Sciences, University of Dammam, Dammam, Kingdom of Saudi Arabia; Chest Clinic, Sunderland Royal Hospital, Sunderland, UK.
Niall KeaneyChest Clinic, Sunderland Royal Hospital, Sunderland, UK.
Andrea KayChest Clinic, Sunderland Royal Hospital, Sunderland, UK.
Monica PriceFaculty of Applied Medicine, School of Pharmacy, Health and Wellbeing, University of Sunderland, UK.
Joan MunbyDepartment of Health and Wellbeing, Open University, UK.
Andrew BillettSunderland Teaching Primary Care Trust, Sunderland, UK.
Sharon HaggertySunderland Teaching Primary Care Trust, Sunderland, UK.
Ian K TaylorChest Clinic, Sunderland Royal Hospital, Sunderland, UK.
Hajed Al OtaibiDepartment of Respiratory Care, College of Applied Medical Sciences, University of Dammam, Dammam, Kingdom of Saudi Arabia.
South Tyneside and Sunderland NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe assessment of the severity of chronic obstructive pulmonary disease (COPD) should involve a multidimensional approach that is now clearly shown to be better than using spirometric impairment alone. The aim of this study is to validate and compare novel tools without an exercise test and to extend prognostic value to patients with less severe impairment of Forced expiratory volume 1 s.

methodsA prospective, observational, primary care cohort study identified 458 eligible patients recruited from the primary care clinics in the northeast of England in 1999-2002. A new prognostic indicator - body mass index, airflow obstruction and dyspnea (BOD) together with the conventional prognostic indices age, dyspnea and airflow obstruction (ADO), global initiative for chronic obstructive lung disease (GOLD) and new GOLD matrix were studied. We also sought to improve prognostication of BOD by adding age (A) and smoking history as pack years (S) to validate BODS (BOD with smoking history) and BODAS (BOD with smoking history and age) as prognostic tools and the predictive power of each was analyzed.

resultsThe survival of the 458 patients was assessed after a median of 10 years when the mortality was found to be 33.6%. The novel indices BOD, BODS, and BODAS were significantly predictive for all-cause mortality in our cohort. Furthermore with ROC analysis the C statistics for BOD, BODS, and BODAS were 0.62, 0.66, and 0.72, respectively (

conclusionBOD, BODS, and BODAS scores are validated predictors of all-cause mortality in a primary care cohort with COPD.

Indexed as

Ageairflow obstructionbody mass indexchronic obstructive pulmonary diseasedyspneamortalitymultidimensional prognostic indexsmoking history

Identifiers

PMID27803752
PMCPMC5070435
OpenAlexW2530726374

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.