Evidence map›Paper›PMID 27330286›Full record

ReviewInternational journal of chronic obstructive pulmonary disease2016

Action plans for COPD: strategies to manage exacerbations and improve outcomes.

Leena Jalota, Vipul V Jain

Abstract readReview
In one paragraph

Review in International journal of chronic obstructive pulmonary disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Reducing the Number of Hospitalization Days for COPD: Setting up a Transmural-Care Pathway.International journal of chronic obstructive pulmonary disease · 2020
    Article
  7. Article
  8. Review
  9. 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

2 authors.

Leena JalotaDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, USA.
Vipul V JainDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, USA; Chronic Lung Disease Program, UCSF-Fresno, Community Regional Medical Center, Fresno, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COPD is the third-largest killer in the world, and certainly takes a toll on the health care system. Recurrent COPD exacerbations accelerate lung-function decline, worsen mortality, and consume over US$50 billion in health care spending annually. This has led to a tide of payment reforms eliciting interest in strategies reducing preventable COPD exacerbations. In this review, we analyze and discuss the evidence for COPD action plan-based self-management strategies. Although action plans may provide stabilization of acute symptomatology, there are several limitations. These include patient-centered attributes, such as comprehension and adherence, and nonadherence of health care providers to established guidelines. While no single intervention can be expected independently to translate into improved outcomes, structured together within a comprehensive integrated disease-management program, they may provide a robust paradigm.

Indexed as

Disease ManagementComorbidityComprehensionDelivery of Health Care, IntegratedDisease ProgressionHealth Knowledge, Attitudes, PracticeHealth StatusHumansLungMental HealthPatient CompliancePatient Education as TopicPhenotypePulmonary Disease, Chronic ObstructiveRisk FactorsSelf Careexacerbationsintegrated disease-management programself-management

Identifiers

PMID27330286
PMCPMC4898028

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.