Evidence map›Paper›PMID 22082049›Full record

SynthesisRespiratory research2011

Multidimensional prognostic indices for use in COPD patient care. A systematic review.

Wouter D van Dijk, Lisette van den Bemt, Saskia van den Haak-Rongen, Erik Bischoff, Chris van Weel, Johannes C C M in 't Veen, Tjard R J Schermer

Abstract readSystematic Review
In one paragraph

Synthesis in Respiratory research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Prognostic variables and scores identifying the end of life in COPD: a systematic review.International journal of chronic obstructive pulmonary disease · 2017
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Review
  13. Article
  14. A clinical prediction model for hospitalized COPD exacerbations based on "treatable traits".International journal of chronic obstructive pulmonary disease · 2019
    Article
  15. Article
  16. COPD stands for complex obstructive pulmonary disease.European respiratory review : an official journal of the European Respiratory Society · 2018
    Review
  17. Article
  18. Article
  19. Determining prognosis in acute exacerbation of COPD.International journal of chronic obstructive pulmonary disease · 2017
    Article
  20. Development of the ProPal-COPD tool to identify patients with COPD for proactive palliative care.International journal of chronic obstructive pulmonary disease · 2017
    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

7 authors.

Wouter D van DijkRadboud University Nijmegen Medical Centre, Department of Primary and Community Care, Nijmegen, the Netherlands. w.vandijk@aios.umcn.nl
Lisette van den Bemt
Saskia van den Haak-Rongen
Erik Bischoff
Chris van Weel
Johannes C C M in 't Veen
Tjard R J Schermer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA growing number of prognostic indices for chronic obstructive pulmonary disease (COPD) is developed for clinical use. Our aim is to identify, summarize and compare all published prognostic COPD indices, and to discuss their performance, usefulness and implementation in daily practice.

methodsWe performed a systematic literature search in both Pubmed and Embase up to September 2010. Selection criteria included primary publications of indices developed for stable COPD patients, that predict future outcome by a multidimensional scoring system, developed for and validated with COPD patients only. Two reviewers independently assessed the index quality using a structured screening form for systematically scoring prognostic studies.

resultsOf 7,028 articles screened, 13 studies comprising 15 indices were included. Only 1 index had been explored for its application in daily practice. We observed 21 different predictors and 7 prognostic outcomes, the latter reflecting mortality, hospitalization and exacerbation. Consistent strong predictors were FEV1 percentage predicted, age and dyspnoea. The quality of the studies underlying the indices varied between fairly poor and good. Statistical methods to assess the predictive abilities of the indices were heterogenic. They generally revealed moderate to good discrimination, when measured. LIMITATIONS: We focused on prognostic indices for stable disease only and, inevitably, quality judgment was prone to subjectivity.

conclusionsWe identified 15 prognostic COPD indices. Although the prognostic performance of some of the indices has been validated, they all lack sufficient evidence for implementation. Whether or not the use of prognostic indices improves COPD disease management or patients' health is currently unknown; impact studies are required to establish this.

Indexed as

Data Interpretation, StatisticalProportional Hazards ModelsSurvival AnalysisHospitalizationHumansPrevalencePrognosisPulmonary Disease, Chronic ObstructiveReproducibility of ResultsRespiratory Function TestsRisk AssessmentRisk FactorsSensitivity and SpecificitySurvival Rate

Identifiers

PMID22082049
PMCPMC3228786

What OpenQuestion holds

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Registered trials

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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.