Evidence map›Paper›PMID 36951517›Full record

ArticleSAR and QSAR in environmental research2023

A multiple linear regression approach to the estimation of carboxylic acid ester and lactone alkaline hydrolysis rate constants.

J Lazare, C Tebes-Stevens, E J Weber

Abstract read
In one paragraph

Article in SAR and QSAR in environmental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. pEnvironmental science & technology · 2025
    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

3 authors.

J LazareOak Ridge Institute for Science and Education (ORISE), Hosted at U.S. Environmental Protection Agency, Athens, GA, USA.ORCID 0000-0002-8875-6691
C Tebes-StevensCenter for Environmental Measurement and Modeling, United States Environmental Protection Agency, Athens, GA, USA.ORCID 0000-0001-7780-2691
E J WeberCenter for Environmental Measurement and Modeling, United States Environmental Protection Agency, Athens, GA, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Pesticides, pharmaceuticals, and other organic contaminants often undergo hydrolysis when released into the environment; therefore, measured or estimated hydrolysis rates are needed to assess their environmental persistence. An intuitive multiple linear regression (MLR) approach was used to develop robust QSARs for predicting base-catalyzed rate constants of carboxylic acid esters (CAEs) and lactones. We explored various combinations of independent descriptors, resulting in four primary models (two for lactones and two for CAEs), with a total of 15 and 11 parameters included in the CAE and lactone QSAR models, respectively. The most significant descriptors include p

Indexed as

LactonesQuantitative Structure-Activity RelationshipCarboxylic AcidsEstersHydrolysisLinear ModelsCarboxylic AcidsEstersLactonescarboxylic acid estershydrolysiskineticslactonesQSAR

Identifiers

PMID36951517
PMCPMC10547131

What OpenQuestion holds

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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.