Evidence map›Paper›PMID 37839072›Full record

ArticleEnvironmental science & technology2023

Predicting Monthly Community-Level Radon Concentrations with Spatial Random Forest in the Northeastern and Midwestern United States.

Longxiang Li, Rebeca Ariel Stern, Eric Garshick, Carolina L Zilli Vieira, Brent Coull, Petros Koutrakis

Abstract read
In one paragraph

Article in Environmental science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. High-resolution national radon maps based on massive indoor measurements in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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.

Longxiang LiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.ORCID 0000-0003-0893-146X
Rebeca Ariel SternDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.ORCID 0000-0001-5554-6455
Eric GarshickPulmonary, Allergy, Sleep, and Critical Care Medicine Section, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, Boston, Massachusetts 02132, United States.
Carolina L Zilli VieiraDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.
Brent CoullDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.
Petros KoutrakisDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.

Funding

Retrospective assessment of radon progeny and pollution effects in COPDR21ES029637 · NIEHS · HARVARD MEDICAL SCHOOL · PI GARSHICK, ERIC · 2019 to 2020
$453k
Estimating acute impacts of unconventional oil and gas development on cause-specific hospitalization via satellite-based exposure assessmentK99ES034459 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LI, LONGXIANG · 2022 to 2023
$204k
NIEHS NIH HHS K99 ES034459NIEHS NIH HHS R21 ES029637
6 · The paper itself

Abstract

In 1987, the United States Environmental Protection Agency recommended installing a mitigation system when the indoor concentration of radon, a well-known carcinogenic radioactive gas, is at or above 148 Bq/m

Indexed as

Air Pollutants, RadioactiveAir Pollution, IndoorRadiation MonitoringRadonHousingMidwestern United StatesRandom ForestUnited StatesAir Pollutants, RadioactiveRadonexposuregeographicalmachine learningmapradon

Identifiers

PMID37839072
PMCPMC11438503

What OpenQuestion holds

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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.