Evidence map›Paper›PMID 35564902›Full record

Observational studyInternational journal of environmental research and public health2022

COVID-19 Lockdown in Israel: The Environmental Effect on Ultrafine Particle Content in the Airway.

Einat Fireman Klein, Yotam Elimeleh, Yochai Adir, Lana Majdoub, Michal Shteinberg, Aharon Kessel

Abstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2022. 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. 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.

Einat Fireman KleinPulmonary Division, Carmel Medical Center, Haifa 3436212, Israel.ORCID 0000-0001-8669-1874
Yotam ElimelehDepartment of Internal Medicine B, Bnai Zion Medical Center, Haifa 3339419, Israel.
Yochai AdirPulmonary Division, Carmel Medical Center, Haifa 3436212, Israel.
Lana MajdoubPulmonary Division, Carmel Medical Center, Haifa 3436212, Israel.
Michal ShteinbergPulmonary Division, Carmel Medical Center, Haifa 3436212, Israel.
Aharon KesselThe Technion-Institute of Technology, Rappaport Faculty of Medicine, Haifa 3525422, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inhaled ultrafine particle (UFP) content in exhaled breath condensate (EBC) was observed as an airway inflammatory marker and an indicator of exposure to particulate matter (PM). The exceptional decline in air pollution during the COVID-19 lockdown was an opportunity to evaluate the effect of environmental changes on UFP airway content. We collected EBC samples from 30 healthy subjects during the first lockdown due to COVID-19 in Israel (March-April 2020) and compared them to EBC samples retrieved during April-June 2016 from 25 other healthy subjects (controls) living in the same northern Israeli district. All participants underwent EBC collection and blood sampling. Ambient air pollutant levels were collected from the Israeli Ministry of Environmental Protection's online database. Data were acquired from the monitoring station closest to each subject's home address, and means were calculated for a duration of 1 month preceding EBC collection. UFP contents were measured in the EBC and blood samples by means of the NanoSight LM20 system. There was a dramatic reduction in NO, NO

Indexed as

Air PollutantsAir PollutionCOVID-19Communicable Disease ControlEnvironmental MonitoringHumansIsraelNitrogen DioxideParticulate MatterAir PollutantsNitrogen DioxideParticulate Matterair pollutionCOVID-19EBClockdownNO2UFP

Identifiers

PMID35564902
PMCPMC9105301

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.