Evidence map›Paper›PMID 36407877›Full record

ArticleBuilding and environment2023

Investigation on the effectiveness of ventilation dilution on mitigating COVID-19 patients' secondary airway damage due to exposure to disinfectants.

Yifan Li, Yiran Lu, Ying Wang, Li Liu, Hao Zhou, Borong Lin, Zhiyong Peng, Yufeng Yuan

Abstract read
In one paragraph

Article in Building and environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. (001)-Exposed mesoporous SnOMikrochimica acta · 2026
    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.

Yifan LiDepartment of Building Science, Tsinghua University, Beijing 100084, China.
Yiran LuDepartment of Building Science, Tsinghua University, Beijing 100084, China.
Ying WangDepartment of Infection Management, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
Li LiuDepartment of Building Science, Tsinghua University, Beijing 100084, China.
Hao ZhouLaboratory of Eco-Planning & Green Building, Ministry of Education, Tsinghua University, Beijing 100084, China.
Borong LinDepartment of Building Science, Tsinghua University, Beijing 100084, China.
Zhiyong PengHubei Engineering Center for Infectious Disease Prevention, Control and Treatment, Wuhan, Hubei 430071, China.
Yufeng YuanHubei Engineering Center for Infectious Disease Prevention, Control and Treatment, Wuhan, Hubei 430071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chlorine-containing disinfectants are widely used in hospitals to prevent hospital-acquired severe acute respiratory syndrome coronavirus 2 infection. Meanwhile, ventilation is a simple but effective means to maintain clean air. It is essential to explore the exposure level and health effects of coronavirus disease 2019 patients' inhalation exposure to by-products of chloride-containing disinfectants under frequent surface disinfection and understand the role of ventilation in mitigating subsequent airway damage. We determined ventilation dilution performance and indoor air quality of two intensive care unit wards of the largest temporary hospital constructed in China, Leishenshan Hospital. The chloride inhalation exposure levels, and health risks indicated by interleukin-6 and D-dimer test results of 32 patients were analysed. The mean ± standard deviation values of the outdoor air change rate in the two intensive care unit wards were 8.8 ± 1.5 h

Indexed as

Chlorine-containing disinfectantsCOIVD-19ICUsInhalation exposure

Identifiers

PMID36407877
PMCPMC9652096

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.