Evidence map›Paper›PMID 40137497›Full record

ArticleToxics2025

Long-Term Retrospective Predicted Concentration of PM

Sawaeng Kawichai, Patumrat Sripan, Amaraporn Rerkasem, Kittipan Rerkasem, Worawut Srisukkham

Abstract read
In one paragraph

Article in Toxics, 2025. 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. Article
  2. Article
  3. Article
  4. 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

5 authors.

Sawaeng KawichaiResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0003-1488-5105
Patumrat SripanResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-8337-9524
Amaraporn RerkasemResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Kittipan RerkasemResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Worawut SrisukkhamDepartment of Computer Science, Faculty of Science, Chiang Mai University, 239 Huay-Kaew Road, Suthep, Muang, Chiang Mai 50200, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to build, for the first time, a model that uses a machine learning (ML) approach to predict long-term retrospective PM

Indexed as

fire hotspotslong-term predictionmachine learningPM2.5 predictionretrospective prediction

Identifiers

PMID40137497
PMCPMC11946178

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.