Evidence map›Paper›PMID 39001069›Full record

ArticleSensors (Basel, Switzerland)2024

Current Diagnostic Techniques for Pneumonia: A Scoping Review.

Kehkashan Kanwal, Muhammad Asif, Syed Ghufran Khalid, Haipeng Liu, Aisha Ghazal Qurashi, Saad Abdullah

Abstract readScoping Review
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Genes · 2025
    Article
  9. 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

6 authors.

Kehkashan KanwalCollege of Speech, Language, and Hearing Sciences, Ziauddin University, Karachi 75000, Pakistan.ORCID 0000-0003-2160-8480
Muhammad AsifFaculty of Computing and Applied Sciences, Sir Syed University of Engineering and Technology, Karachi 75300, Pakistan.ORCID 0000-0003-0077-1342
Syed Ghufran KhalidDepartment of Engineering, Faculty of Science and Technology, Nottingham Trent University, Nottingham B15 3TN, UK.ORCID 0000-0002-0305-5678
Haipeng LiuResearch Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UK.ORCID 0000-0002-4212-2503
Aisha Ghazal QurashiJubilee Healthcare Centre, Coventry CV1 3GB, UK.
Saad AbdullahSchool of Innovation, Design and Engineering, Mälardalen University, 721 23 Västerås, Sweden.ORCID 0000-0003-4841-2488

Funding

HEC Indigenous Scholarship Phase V 518-74863-2EG5-064
6 · The paper itself

Abstract

Community-acquired pneumonia is one of the most lethal infectious diseases, especially for infants and the elderly. Given the variety of causative agents, the accurate early detection of pneumonia is an active research area. To the best of our knowledge, scoping reviews on diagnostic techniques for pneumonia are lacking. In this scoping review, three major electronic databases were searched and the resulting research was screened. We categorized these diagnostic techniques into four classes (i.e., lab-based methods, imaging-based techniques, acoustic-based techniques, and physiological-measurement-based techniques) and summarized their recent applications. Major research has been skewed towards imaging-based techniques, especially after COVID-19. Currently, chest X-rays and blood tests are the most common tools in the clinical setting to establish a diagnosis; however, there is a need to look for safe, non-invasive, and more rapid techniques for diagnosis. Recently, some non-invasive techniques based on wearable sensors achieved reasonable diagnostic accuracy that could open a new chapter for future applications. Consequently, further research and technology development are still needed for pneumonia diagnosis using non-invasive physiological parameters to attain a better point of care for pneumonia patients.

Indexed as

COVID-19PneumoniaHumansSARS-CoV-2community-acquired pneumoniaCOVID-19diagnostic radiographymedical diagnosisnon-invasive measurements

Identifiers

PMID39001069
PMCPMC11244398

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.