Evidence map›Paper›PMID 35180862›Full record

ArticleEnvironmental health : a global access science source2022

Fine particulate matter and polycystic ovarian morphology.

Victoria Fruh, Jay Jojo Cheng, Ann Aschengrau, Shruthi Mahalingaiah, Kevin J Lane

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. 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 at 3 institutions in 1 country.

Victoria FruhDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. vfruh@hsph.harvard.edu.ORCID 0000-0003-1048-7230
Jay Jojo ChengDepartment of Biostatistics and Medical Informatics, University of Wisconsin, 702 West Johnson Street, Madison, WI, USA.
Ann AschengrauDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Shruthi Mahalingaiah *Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Kevin J Lane *Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
Boston University · USHarvard University · USUniversity of Wisconsin–Madison · US

Funding

Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
NLM NIH HHS T15 LM007359
6 · The paper itself

Abstract

backgroundPolycystic ovary morphology (PCOM) is an ultrasonographic finding that can be present in women with ovulatory disorder and oligomenorrhea due to hypothalamic, pituitary, and ovarian dysfunction. While air pollution has emerged as a possible disrupter of hormone homeostasis, limited research has been conducted on the association between air pollution and PCOM.

methodsWe conducted a longitudinal cohort study using electronic medical records data of 5,492 women with normal ovaries at the first ultrasound that underwent a repeated pelvic ultrasound examination during the study period (2004-2016) at Boston Medical Center. Machine learning text algorithms classified PCOM by ultrasound. We used geocoded home address to determine the ambient annual average PM

resultsCumulative exposure to PM

conclusionsIn this study of reproductive-aged women, we observed little association between PM

Indexed as

Air PollutantsAir PollutionPolycystic Ovary SyndromeAdultCohort StudiesEnvironmental ExposureFemaleHumansLongitudinal StudiesParticulate MatterAir PollutantsParticulate MatterAir pollutionElectronic medical recordsFine particulate matterPolycystic ovary morphology (PCOM)

Identifiers

PMID35180862
PMCPMC8855564
OpenAlexW4212912412

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.