Evidence map›Paper›PMID 36409131›Full record

ArticleApplied and environmental microbiology2022

Structural Equation Models Suggest That On-Farm Noncrop Vegetation Removal Is Not Associated with Improved Food Safety Outcomes but Is Linked to Impaired Water Quality.

Daniel L Weller, Tanzy M T Love, Donald E Weller, Claire M Murphy, Brian G Rahm, Martin Wiedmann

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Daniel L WellerDepartment of Food Science, Cornell Universitygrid.5386.8, Ithaca, New York, USA.ORCID 0000-0001-7259-6331
Tanzy M T LoveDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA.
Donald E WellerDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA.
Claire M MurphySmithsonian Environmental Research Center, Edgewater, Maryland, USA.
Brian G RahmVirginia Polytechnic and State University, Blacksburg, Virginia, USA.
Martin WiedmannDepartment of Food Science, Cornell Universitygrid.5386.8, Ithaca, New York, USA.ORCID 0000-0002-4168-5662

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Sally W Thurston · 1985 to 2026
$42.8M
TRAINING IN ENVIRONMENTAL HEALTH SCIENCES BIOSTATISTICST32ES007271 · NIEHS · UNIVERSITY OF ROCHESTER · PI Sally W Thurston · 1992 to 2026
$3.9M
HHS | NIH | National Institute of Environmental Health Sciences (NIEHS) T32ES007271NIEHS NIH HHS P30 ES001247NIEHS NIH HHS T32 ES007271
6 · The paper itself

Abstract

While growers have reported pressures to minimize wildlife intrusion into produce fields through noncrop vegetation (NCV) removal, NCV provides key ecosystem services. To model food safety and environmental tradeoffs associated with NCV removal, published and publicly available food safety and water quality data from the Northeastern United States were obtained. Because data on NCV removal are not widely available, forest-wetland cover was used as a proxy, consistent with previous studies. Structural equation models (SEMs) were used to quantify the effect of forest-wetland cover on (i) food safety outcomes (e.g., detecting pathogens in soil) and (ii) water quality (e.g., nutrient levels). Based on the SEMs, NCV was not associated with or had a protective effect on food safety outcomes (more NCV was associated with a reduced likelihood of pathogen detection). The probabilities of detecting

Indexed as

EcosystemWater QualityAgricultureFarmsFood SafetySoilSoilcomanagementE. coliecosystem servicesfood safetyListeriaSalmonellastructural equation modelssustainabilitywater quality

Identifiers

PMID36409131
PMCPMC9746293

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.