Evidence map›Paper›PMID 38776499›Full record

ArticleAmerican journal of public health2024

Paving the Way for the Next Frontier of Community-Engaged Research.

Emily M D'Agostino, Debra Oto-Kent, Miriam Nuño

Abstract readEditorial
In one paragraph

Article in American journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Emily M D'AgostinoEmily M. D'Agostino is with the Duke Clinical Research Institute, the Duke Global Health Institute, and the Departments of Orthopaedic Surgery and Population Health Sciences, Duke University School of Medicine, Durham, NC. Debra Oto-Kent is with the Health Education Council, Sacramento, CA. Miriam Nuño is with the Division of Biostatistics, Department of Public Health Sciences, UC Davis Health Medical Center, Sacramento, CA. The authors were also Guest Editors of this supplemental issue.
Debra Oto-KentEmily M. D'Agostino is with the Duke Clinical Research Institute, the Duke Global Health Institute, and the Departments of Orthopaedic Surgery and Population Health Sciences, Duke University School of Medicine, Durham, NC. Debra Oto-Kent is with the Health Education Council, Sacramento, CA. Miriam Nuño is with the Division of Biostatistics, Department of Public Health Sciences, UC Davis Health Medical Center, Sacramento, CA. The authors were also Guest Editors of this supplemental issue.
Miriam NuñoEmily M. D'Agostino is with the Duke Clinical Research Institute, the Duke Global Health Institute, and the Departments of Orthopaedic Surgery and Population Health Sciences, Duke University School of Medicine, Durham, NC. Debra Oto-Kent is with the Health Education Council, Sacramento, CA. Miriam Nuño is with the Division of Biostatistics, Department of Public Health Sciences, UC Davis Health Medical Center, Sacramento, CA. The authors were also Guest Editors of this supplemental issue.

Funding

UC Davis Environmental Health Sciences Core CenterP30ES023513 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Irva Hertz-Picciotto · 2015 to 2026
$26.0M
Getting Asian Americans INFORMED to Facilitate COVID-19 Testing and VaccinationR01DA036749 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TSOH, JANICE Y · 2014 to 2022
$4.4M
NIDA NIH HHS R01 DA036749NIEHS NIH HHS P30 ES023513
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Community-Based Participatory ResearchHumans

Identifiers

PMID38776499
PMCPMC11111370

What OpenQuestion holds

Textmetadata
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.