Evidence map›Paper›PMID 41496779›Full record

ArticleJournal of clinical and translational science2025

Bridging barriers, integrating insights: The Gotham approach to CTSA collaborative evaluation.

Cathleen T Kane, Elana E Lipschitz, Zainab Abedin, Kawthar Muhammad, Brian J Nickerson, Gina Rhim, Claudia Lechuga, Jonathan N Tobin, Maija N Neville-Williams, Chen Lyu and 1 more

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2025. 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  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

11 authors.

Cathleen T KaneClinical and Translational Science Institute, NYU Langone, New York, NY, USA.ORCID https://orcid.org/0009-0008-4494-355X
Elana E LipschitzClinical and Translational Science Institute, NYU Langone, New York, NY, USA.
Zainab AbedinIrving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA.
Kawthar MuhammadIrving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA.
Brian J NickersonConduITS CTSA - Institutes for Translational Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Gina RhimConduITS CTSA - Institutes for Translational Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Claudia LechugaInstitute for Clinical and Translational Research, Einstein-Montefiore, Bronx, NY, USA.
Jonathan N TobinCenter for Clinical and Translational Science, The Rockefeller University, New York, NY, USA.ORCID https://orcid.org/0000-0003-4722-539X
Maija N Neville-WilliamsCenter for Clinical and Translational Science, The Rockefeller University, New York, NY, USA.
Chen LyuClinical and Translational Science Institute, NYU Langone, New York, NY, USA.
Alden Yuanhong LaiClinical and Translational Science Institute, NYU Langone, New York, NY, USA.ORCID https://orcid.org/0000-0002-2416-2915

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collaboration across the Clinical and Translational Science Award (CTSA) consortium is essential for advancing translational science, yet institutional silos often hinder data-sharing and benchmarking efforts. This study examines the viability of a voluntary, multi-hub analysis of the CTSA education common metric on trainee and scholar engagement across five New York City-based sites or "hubs." Using a structured framework for collaboration and field-tested operational guidelines, a team of evaluators dubbed "The Gotham Group" pooled de-identified common education data to assess post-training research engagement and demographic representation. Their primary objective was to establish a sustainable model for independent data-sharing without national mandates or technical support. A secondary goal was to reassess the metric's usefulness as an impact benchmark. Results showed that NYC education engagement percentages remained stable despite institutional differences, suggesting the metric's viability for regional comparison. More importantly, the collaboration itself proved as valuable as its outcomes, fostering professional relationships, facilitating knowledge exchange, and strengthening evaluation capacity within and across the hubs. This study highlights the potential of voluntary data-sharing partnerships to overcome data silos and to create valuable networks driving continuous improvement in translational science.

Indexed as

evaluation studymulti-hub Clinical and Translational Science Awards (CTSA)National Institutes of Health (NIH)stakeholder participationtranslational science evaluation

Identifiers

PMID41496779
PMCPMC12766516

What OpenQuestion holds

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LicenceCC BY
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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.