Evidence map›Paper›PMID 33776593›Full record

ArticleIEEE sensors journal2020

A Cloud-connected NO

Quan Dong, Baichen Li, R Scott Downen, Nam Tran, Elizabeth Chorvinsky, Dinesh K Pillai, Mona E Zaghloul, Zhenyu Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE sensors journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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.

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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

8 authors.

Quan DongDepartment of Biomedical Engineering, The George Washington University, Washington, DC 20052 USA.
Baichen LiDepartment of Biomedical Engineering, The George Washington University, Washington, DC 20052 USA.
R Scott DownenDepartment of Biomedical Engineering, The George Washington University, Washington, DC 20052 USA.
Nam TranDepartment of Biomedical Engineering, The George Washington University, Washington, DC 20052 USA.
Elizabeth ChorvinskyDivision of Pulmonary Medicine, Children's National Hospital, Washington, DC 20010 USA.
Dinesh K PillaiDivision of Pulmonary Medicine, Children's National Hospital, Washington, DC 20010 USA; Departments of Pediatrics and Genomics & Precision Medicine, the George Washington University, DC 20052 USA.
Mona E ZaghloulDepartment of Electrical Engineering and Computer Engineering, The George Washington University, Washington, DC 20052 USA.
Zhenyu LiDepartment of Biomedical Engineering, The George Washington University, Washington, DC 20052 USA.

Funding

Ambulatory Sensor Arrays for Real-Life Monitoring of Pediatric Patients with AsthmaU01EB021986 · NIBIB · GEORGE WASHINGTON UNIVERSITY · PI LI, ZHENYU · 2015 to 2015
$2.0M
NIBIB NIH HHS U01 EB021986
6 · The paper itself

Abstract

This paper presents a cloud-connected indoor air quality sensor system that can be deployed to patients' homes to study personal microenvironmental exposure for asthma research and management. The system consists of multiple compact sensor units that can measure residential NO

Indexed as

Cloud informatic systemindoor air qualityNO2Ozonepediatric asthma research and managementpersonal exposure sensor

Identifiers

PMID33776593
PMCPMC7996448

What OpenQuestion holds

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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.