Evidence map›Paper›PMID 41690305›Full record

ArticleCell reports methods2026

HazardPyMatch: A tool for identifying reproductive and other hazards in scientific laboratories.

Emily M Parker, Anastasia-Maria Zavitsanou, Clara Liff, Nour El Houda Mimouni, Isabella Succi, Eric Rogers, Marianna Liistro, Danique Jeurissen

Abstract read
In one paragraph

Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Emily M ParkerZuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA. Electronic address: emp2163@columbia.edu.
Anastasia-Maria ZavitsanouZuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; Department of Biological Sciences, Columbia University, New York, NY, USA. Electronic address: az2764@columbia.edu.
Clara LiffZuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; Department of Neuroscience, Columbia University, New York, NY, USA.
Nour El Houda MimouniZuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
Isabella SucciZuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; Department of Biological Sciences, Columbia University, New York, NY, USA.
Eric RogersZuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
Marianna LiistroEdinburgh Medical School, University of Edinburgh, Edinburgh, UK.
Danique JeurissenZuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; Center for Neural Science, New York University, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding and mitigating laboratory hazards is essential for fostering safe and inclusive research environments. However, conducting risk assessments can be challenging and time consuming, especially for scientists who have new or specific concerns about hazard susceptibility, such as pregnant women. In response, using reproductive hazards as our primary example, we developed HazardPyMatch, a laboratory hazard screening tool designed to be implemented in laboratories across scientific disciplines to support efficient hazard management. HazardPyMatch is an accessible and user-friendly tool that enables scientists to quickly and easily systematically identify chemical hazards in laboratory chemical inventories and categorize these hazards in laboratory protocols.

Indexed as

Hazardous SubstancesLaboratoriesReproductionFemaleHumansPregnancyRisk AssessmentHazardous Substances

Identifiers

PMID41690305
PMCPMC12946739

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.