Evidence map›Paper›PMID 37474208›Full record

ArticleThe Lancet. Global health2023

COPD generates substantial cost for health systems.

Dhiraj Agarwal

Registry-linked trialAbstract readComment
PubMed Publisher
In one paragraph

Article in The Lancet. Global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06308302 (Comparative Effects of Inspiratory Muscle Training vs Expiratory Muscle Training Along With Aerobic Interval Training on Functional Performance and Fatigue Level in COPD Patients), which is not on this map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT06308302 nacompletednot on this map

Comparative Effects of Inspiratory Muscle Training vs Expiratory Muscle Training Along With Aerobic Interval Training on Functional Performance and Fatigue Level in COPD Patients

TypeinterventionalSponsorRiphah International UniversityRan2023 to 2024Enrolled53ConditionsCOPDArmsGroup A (Inspiratory Muscles Training + Aerobic Interval Training), Group B (Expiratory Muscles Training +Aerobic Interval Training)
3 · Its place in the literature

Who cites it

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

  1. Multi-Ancestry Mendelian Randomization Reveals Lipid-Associated Genetic Risk Factors for COPD.International journal of chronic obstructive pulmonary disease · 2025
    Pooled it
  2. Application of Discrete Event Simulation Models for COPD Management: A Systematic Review.International journal of chronic obstructive pulmonary disease · 2025
    Pooled it
  3. Article
  4. A Proposed Checklist for Optimizing COPD Patient Discharge Processes in Italian Internal Medicine Wards.International journal of chronic obstructive pulmonary disease · 2026
    Review
  5. Characterization of Patients with COPD and GOLD E Classification in the United States.International journal of chronic obstructive pulmonary disease · 2026
    Article
  6. Article
  7. Article
  8. Mendelian causes of early-onset emphysema: a review of the current literature.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  9. Article
  10. Article
  11. Observational
  12. Review
  13. The Burden of COPD with Type 2 Inflammation in North-West Continental Europe.International journal of chronic obstructive pulmonary disease · 2025
    Review
  14. Review
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Dhiraj AgarwalVadu Rural Health Program, KEM Hospital Research Centre, Rasta Peth, Pune 411011, Maharashtra, India. Electronic address: dhiraj.agarwal@kemhrcvadu.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Health Care CostsPulmonary Disease, Chronic ObstructiveCost of IllnessGovernment ProgramsHumans

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.