Evidence map›Paper›PMID 35475360›Full record

ArticleMolecular pharmaceutics2022

Solvent-Mediated Polymorphic Transformations in Molten Polymers: The Account of Acetaminophen.

José R Hernández Espinell, Verónica Toro, Xin Yao, Lian Yu, Vilmalí Lopéz-Mejías, Torsten Stelzer

Open access · greenAbstract read
In one paragraph

Article in Molecular pharmaceutics, 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
0.8field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  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 at 3 institutions in 2 countries.

José R Hernández EspinellDepartment of Chemistry, University of Puerto Rico, Río Piedras Campus, San Juan, Puerto Rico 00931, United States.
Verónica ToroDepartment of Chemistry, University of Puerto Rico, Río Piedras Campus, San Juan, Puerto Rico 00931, United States.
Xin YaoSchool of Pharmacy and Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0002-7657-4997
Lian YuSchool of Pharmacy and Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0002-4253-5658
Vilmalí Lopéz-MejíasDepartment of Chemistry, University of Puerto Rico, Río Piedras Campus, San Juan, Puerto Rico 00931, United States.ORCID 0000-0003-2138-8414
Torsten StelzerCrystallization Design Institute, Molecular Sciences Research Center, University of Puerto Rico, San Juan, PR 00926, United States.ORCID 0000-0003-3881-0183
University of Puerto Rico at Río Piedras · PRUniversity of Wisconsin–Madison · USUniversity of Puerto Rico, Medical Sciences Campus · PR

Funding

TRANSLATIONAL PROTEOMICS CENTERG12MD007600 · NIMHD · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI FERNANDEZ-REPOLLET, EMMA · 2012 to 2016
$11.0M
NIMHD NIH HHS G12 MD007600
6 · The paper itself

Abstract

Solvent-mediated polymorphic transformations (SMPTs) employing nonconventional solvents (polymer melts) is an underexplored research topic that limits the application of polymer-based formulation processes. Acetaminophen (ACM), a widely studied active pharmaceutical ingredient (API), is known to present SMPTs spontaneously (<30 s) in conventional solvents such as ethanol.

Indexed as

AcetaminophenPolymersEthanolPolyethylene GlycolsSolubilitySolventsAcetaminophenEthanolPolyethylene GlycolsPolymersSolventsactive pharmaceutical ingredientscrystalline solid dispersiondiffusivitymeltpolymorphismsolvent-mediated polymorphic transformation

Identifiers

PMID35475360
PMCPMC10950320
OpenAlexW4224936579

What OpenQuestion holds

Textmetadata
LicenceTDM
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.