Evidence map›Paper›PMID 32753593›Full record

ArticleJournal of exposure science & environmental epidemiology2020

Panel study using novel sensing devices to assess associations of PM

Shih-Chun Candice Lung, Nathan Chen, Jing-Shiang Hwang, Shu-Chuan Hu, Wen-Cheng Vincent Wang, Tzu-Yao Julia Wen, Chun-Hu Liu

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Peaks, sources, and immediate health impacts of PMJournal of exposure science & environmental epidemiology · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Research Priorities of Applying Low-Cost PMInternational journal of environmental research and public health · 2022
    Review
  6. Demonstrating the Applicability of Smartwatches in PMSensors (Basel, Switzerland) · 2021
    Article
  7. Article
  8. Investigation on daily exposure to PMJournal of exposure science & environmental epidemiology · 2020
    Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Shih-Chun Candice LungResearch Center for Environmental Changes, Academia Sinica, Taipei, Taiwan. sclung@rcec.sinica.edu.tw.
Nathan ChenResearch Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.
Jing-Shiang HwangInstitute of Statistical Science, Academia Sinica, Taipei, Taiwan.
Shu-Chuan HuResearch Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.
Wen-Cheng Vincent WangResearch Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.
Tzu-Yao Julia WenResearch Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.
Chun-Hu LiuResearch Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectiveThis work applied a newly developed low-cost sensing (LCS) device (AS-LUNG-P) and a certified medical LCS device (Rooti RX) to assessing PM

methodsObservations using AS-LUNG-P were corrected by side-by-side comparison with GRIMM instruments. Thirty-six nonsmoking healthy subjects aged 20-65 years were wearing AS-LUNG-P and Rooti RX for 2-4 days in both Summer and Winter in Taiwan.

resultsPM SIGNIFICANCE: This is a pioneer in demonstrating application of novel LCS devices to assessing close-to-reality PM

Indexed as

Air PollutantsParticulate MatterAdultAgedEnvironmental ExposureHeart RateHumansMiddle AgedSeasonsTaiwanYoung AdultAir PollutantsParticulate MatterAsian PM exposure sourcesParticles and healthPM exposurePM low-cost sensors

Identifiers

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.