Evidence map›Paper›PMID 41674643›Full record

ArticlemedRxiv : the preprint server for health sciences2026

A Prospective Natural History Study Protocol for Clinical Trial Readiness in Synaptic Disorders.

Jillian L McKee, Sarah M Ruggiero, Kristin Cunningham, JoeyLynn Coyne, Ian McSalley, Michael C Kaufman, Bintou Bane, Torrey Chisari, Jonathan Toib, Carlyn Glatts and 29 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

39 authors.

Kristin Cunningham
JoeyLynn Coyne
Ian McSalley
Michael C KaufmanORCID 0000-0003-2718-296X
Bintou Bane
Torrey Chisari
Jonathan Toib
Carlyn Glatts
Sarah Tefft
Julie M Orlando
Viveknarayanan Padmanabhan
Alexander K GonzalezORCID 0000-0002-4402-398X
Alicia Harrison
Charlene Woo
Stephanie A Zbikowski
Rency Dhaduk
Johanna Mercurio
Macie McCarthy
Jan H Magielski
Zachary Grinspan
Megan Abbott
Juliet Knowles
Katherine Xiong
Elizabeth Berry-Kravis
Sepideh Tabarestani
J Michael Graglia
Kathryn Helde
Virginie McNamar
Charlene Son Rigby
James Goss
Scott Demarest
Andrea Miele
Benjamin Prosser
Michael J Boland
Samuel R Pierce

Funding

Subgroup delineation in genetic epilepsies and developmental brain disordersR01NS127830 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI Ingo Helbig · 2023 to 2026
$2.8M
Outcome measures and quantitative EEG biomarkers in SYNGAP1-related disordersK23NS140491 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI Jillian Lee McKee · 2025 to 2026
$439k
NINDS NIH HHS K23 NS140491NINDS NIH HHS R01 NS127830
6 · The paper itself

Abstract

Objective: Methods: Here, we describe a protocol, regulatory structure, and supportive preliminary data for multi-center, prospective natural history studies of Results: Our data support that existing developmental measures are feasible, informative, and show minimal floor or ceiling effects. Furthermore, we demonstrate that medical record-based seizure history reconstruction reveals unique epilepsy trajectories while minimizing burden to families. We observe disease-specific patterns of developmental performance and distinct longitudinal seizure dynamics, highlighting the need for data generation in a gene/disorder-specific manner for clinical trial readiness. Significance: In summary, we present a feasible natural history protocol with prospective data for two complex neurodevelopmental disorders with natural histories that have previously been incompletely characterized, within a regulatory framework that will support the use of these data to expedite clinical trial development. Key Points:

Identifiers

PMID41674643
PMCPMC12889760

What OpenQuestion holds

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Registered trials

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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.