Evidence map›Paper›PMID 37064426›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2023

Applying principal component pursuit to investigate the association between source-specific fine particulate matter and myocardial infarction hospitalizations in New York City.

Rachel H Tao, Lawrence G Chillrud, Yanelli Nunez, Sebastian T Rowland, Amelia K Boehme, Jingkai Yan, Jeff Goldsmith, John Wright, Marianthi-Anna Kioumourtzoglou

Open access · goldAbstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 24% 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, 8 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Rachel H TaoDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.ORCID https://orcid.org/0000-0001-5134-2770
Lawrence G ChillrudDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Yanelli NunezDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Sebastian T RowlandDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Amelia K BoehmeDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.
Jingkai YanDepartment of Electrical Engineering, Columbia University, New York, NY.
Jeff GoldsmithDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY.
John WrightDepartment of Electrical Engineering, Columbia University, New York, NY.
Marianthi-Anna KioumourtzoglouDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Columbia University · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Integrating Air Pollution Prediction Models: Uncertainty Quantification and Propagation in Health StudiesR01ES030616 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DOMINICI, FRANCESCA, KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2020 to 2024
$3.1M
Principal Component Pursuit to Assess Exposure to Environmental Mixtures in Epidemiologic StudiesR01ES028805 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2018 to 2021
$2.2M
NIEHS NIH HHS P30 ES009089NIEHS NIH HHS R01 ES028805NIEHS NIH HHS R01 ES030616
6 · The paper itself

Abstract

The association between fine particulate matter (PM Methods: We adapted principal component pursuit (PCP), a dimensionality-reduction technique previously used in computer vision, as a novel pattern recognition method for environmental mixtures to apportion speciated PM Results: We identified four sources of PM Conclusions: In our NYC study, we identified traffic, crustal dust, and chromium PM

Identifiers

PMID37064426
PMCPMC10097537
OpenAlexW4320914801

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.