Article in Crisis, 2026. 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.
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
7 authors.
Jean P FloresDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-8850-1154
Monica M DesjardinsCenter for Genomics and Applied Public Health, RTI International, Durham, NC, USA.
Christopher KitchenDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0001-7767-2508
Anas BeloualiBiomedical Informatics and Data Science, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-2780-2500
Hadi KharraziDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0003-1481-4323
Holly C WilcoxDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Paul S NestadtDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-2479-703X
Funding
NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Advancing Maryland's Statewide Suicide Data Warehouse to Improve Individual and Population-level Mortality Prediction and PreventionR01MH124724 · NIMH · JOHNS HOPKINS UNIVERSITY · PI KHARRAZI, HADI · 2020 to 2023
$3.2M
Johns Hopkins Training Program in Biomedical Informatics and Data ScienceT15LM013979 · NLM · JOHNS HOPKINS UNIVERSITY · PI CHRISTOPHER G CHUTE, Hadi Kharrazi · 2022 to 2026
$2.2M
Harmonizing Multiple Data Sources And Psychological Autopsy To Characterize Suicides Among Opioid-Related DeathsK23DA055693 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Paul Sasha Nestadt · 2022 to 2026
$985k
Addressing Suicide Research Gaps: Understanding Mortality Outcomes in the Mid-Atlantic RegionR56MH117560 · NIMH · JOHNS HOPKINS UNIVERSITY · PI KHARRAZI, HADI, WILCOX, HOLLY C · 2018 to 2018
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.
Use of Vital Records to Improve Identification of Suicide as Manner of Death for Opioid-Related Fatalities. · full record | OpenQuestion