Evidence map›Paper›PMID 41735474›Full record

ArticleNPJ digital medicine2026

Algorithmic opacity in opioid risk scoring and the need for transparent AI regulation.

Sherry Yun Wang, Ryan Stofer, Zhouzhou Chu, Xiao Huang, Ang Li

Abstract read
In one paragraph

Article in NPJ digital medicine, 2026. 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. 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

5 authors.

Sherry Yun WangSchool of Pharmacy, Chapman University, Irvine, CA, USA. yunwang@chapman.edu.ORCID http://orcid.org/0000-0001-9438-5586
Ryan StoferSchool of Pharmacy, Chapman University, Irvine, CA, USA.
Zhouzhou ChuSchool of Pharmacy, Chapman University, Irvine, CA, USA.
Xiao HuangDepartment of Environmental Sciences, Emory University, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-4323-382X
Ang LiDepartment of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0002-4990-1729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NarxCare®, a proprietary opioid risk scoring system embedded in Prescription Drug Monitoring Programs (PDMPs), has generated significant patient complaints. We adhered to the technical specifications and applied them to PDMP and IQVIA PharMetrics® Plus Closed Health Plan claims database. Despite adding socioeconomic covariates, precision (0.01-0.32) was far below the reported benchmark of 0.75, and F1 scores (0.02-0.39) were also substantially lower than the benchmark value of 0.65, across all our reconstructed models.

Identifiers

PMID41735474
PMCPMC13125339

What Socratic holds

Textmetadata
LicenceCC BY
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.