Evidence map›Paper›PMID 29963580›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2018

Development of a pulmonary imaging biomarker pipeline for phenotyping of chronic lung disease.

Fumin Guo, Dante Capaldi, Miranda Kirby, Khadija Sheikh, Sarah Svenningsen, David G McCormack, Aaron Fenster, Grace Parraga, Canadian Respiratory Research Network

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

Article in Journal of medical imaging (Bellingham, Wash.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Review
  3. 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

9 authors at 2 institutions in 1 country.

Fumin GuoUniversity of Western Ontario, Robarts Research Institute, London, Ontario, Canada.
Dante CapaldiUniversity of Western Ontario, Robarts Research Institute, London, Ontario, Canada.ORCID https://orcid.org/0000-0002-4590-7461
Miranda KirbyUniversity of British Columbia, St. Paul's Hospital, Centre for Heart Lung Innovation, Vancouver, Canada.
Khadija SheikhUniversity of Western Ontario, Robarts Research Institute, London, Ontario, Canada.
Sarah SvenningsenUniversity of Western Ontario, Robarts Research Institute, London, Ontario, Canada.
David G McCormackUniversity of Western Ontario, Division of Respirology, Department of Medicine, London, Ontario, Canada.
Aaron FensterUniversity of Western Ontario, Robarts Research Institute, London, Ontario, Canada.ORCID https://orcid.org/0000-0003-3525-2788
Grace ParragaUniversity of Western Ontario, Robarts Research Institute, London, Ontario, Canada.
Canadian Respiratory Research Network
Western University · CASunnybrook Research Institute

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We designed and generated pulmonary imaging biomarker pipelines to facilitate high-throughput research and point-of-care use in patients with chronic lung disease. Image processing modules and algorithm pipelines were embedded within a graphical user interface (based on the .NET framework) for pulmonary magnetic resonance imaging (MRI) and x-ray computed-tomography (CT) datasets. The software pipelines were generated using C++ and included: (1) inhaled

Indexed as

asthmachronic obstructive lung diseaseimage processing, biomarkersmagnetic resonance imagingthoracic computed tomography

Identifiers

PMID29963580
PMCPMC6022861
OpenAlexW2901694925

What OpenQuestion holds

Textmetadata
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.