Evidence map›Paper›PMID 27890994›Full record

ReviewLung India : official organ of Indian Chest Society

Quantitative computed tomography imaging in chronic obstructive pulmonary disease.

Lalita Fernandes, Yasmin Fernandes, Anthony Menezes Mesquita

Abstract readReview
In one paragraph

Review in Lung India : official organ of Indian Chest Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. UltrasensitiveAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Diversity of respiratory impedance based on quantitative computed tomography in patients with COPD.International journal of chronic obstructive pulmonary disease · 2018
    Article
  11. Observational
  12. 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

3 authors.

Lalita FernandesDepartment of Pulmonary Medicine, Goa Medical College, Goa, India.
Yasmin FernandesDepartment of Radiology, Goa Medical College, Goa, India.
Anthony Menezes MesquitaDepartment of Pulmonary Medicine, Goa Medical College, Goa, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease having small airway inflammation, emphysema, and pulmonary hypertension. It is now clear that spirometry alone cannot differentiate each component. Quantitative computed tomography (QCT) is increasingly used to quantify the amount of emphysema and small airway involvement in COPD. Inspiratory CT guides in assessing emphysema while expiratory CT identifies areas of air trapping which is a surrogate of small airway inflammation. By constructing a three-dimensional model of airways, we can also measure the airway wall thickness of segmental and subsegmental airways. The aim of this review is to present the current knowledge and methodologies in QCT of the lung that aid in identifying discrete COPD phenotypes.

Indexed as

Airway wall thickeningchronic obstructive pulmonary diseaseimagingphysiopathologypulmonary emphysemaquantitative computed tomography

Identifiers

PMID27890994
PMCPMC5112822

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.