Evidence map›Paper›PMID 35836791›Full record

ArticleJournal of clinical and translational science2022

Moving beyond annual data reports: A blueprint for communicating and disseminating actionable intelligence.

Raquel Ruiz, Ann Schwartz, Elissa Orlando, Deborah Ossip, Martin S Zand, Ann Dozier

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Evaluation means making CQI collaborative (E = MCJournal of clinical and translational science · 2025
    Article
  5. Moving fromJournal of clinical and translational science · 2024
    Article
  6. 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.

Raquel RuizUniversity of Rochester Clinical and Translational Science Institute, Rochester, NY, USA.ORCID https://orcid.org/0000-0003-2275-0059
Ann SchwartzUniversity of Rochester Clinical and Translational Science Institute, Rochester, NY, USA.
Elissa OrlandoCenter for Leading Innovation and Collaboration (CLIC), CTSA Program Coordinating Center, Rochester, NY, USA.
Deborah Ossip *University of Rochester Clinical and Translational Science Institute, Rochester, NY, USA.
Martin S Zand *University of Rochester Clinical and Translational Science Institute, Rochester, NY, USA.ORCID https://orcid.org/0000-0002-7095-8682
Ann Dozier *University of Rochester Clinical and Translational Science Institute, Rochester, NY, USA.ORCID https://orcid.org/0000-0001-8296-1910

Funding

CTSA Coordinating Center for Leading Innovation and Collaboration (CLIC)U24TR002260 · NCATS · UNIVERSITY OF ROCHESTER · PI OSSIP, DEBORAH J, ZAND, MARTIN S · 2017 to 2021
$19.0M
NCATS NIH HHS U24 TR002260
6 · The paper itself

Abstract

Identifying and disseminating actionable intelligence is a challenging task that requires thoughtful planning. The National Center for Advancing Translational Sciences instituted the Common Metrics Initiative with the goal of evaluating the Clinical and Translational Science Awards (CTSA) Programs using a standard set of metrics. Initially managed by Tufts University, the Center for Leading Innovation and Collaboration (CLIC) at the University of Rochester began leading this initiative in 2017. In directing this work, CLIC created a framework for communicating and disseminating data insights.

Indexed as

clinical researchcommon metricscommunicationData to Actiondisseminationevaluationtranslational science

Identifiers

PMID35836791
PMCPMC9257770

What OpenQuestion 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 OpenQuestion graph.