Evidence map›Paper›PMID 42525369›Full record

ReviewTherapeutic innovation & regulatory science2026

Regulatory Alignment on Surrogate Endpoints for Slowly Progressive Ultra-Rare Neurological Diseases: Bridging the Gap Between Biomarker Science and Global Regulatory Acceptance.

Shihshuan Fang, Shenghan Chen

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In one paragraph

Review in Therapeutic innovation & regulatory science, 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

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

2 authors.

Shihshuan FangDepartment of Geriatrics, Landseed International Hospital, Taoyuan, Taiwan.
Shenghan ChenDepartment of Neurology, Landseed International Hospital, 77 Guangtai Road, Pingzhen District, Taoyuan, 324, Taiwan. castal2008@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor slowly progressive ultra-rare diseases, hard clinical endpoints such as mortality or sustained functional decline are often impractical within feasible trial timeframes. Surrogate biomarkers, including fluid and imaging analytes, offer a pathway to accelerate drug development. Achieving cross-jurisdictional regulatory acceptance for these surrogates remains a profound scientific and policy challenge.

methodsWe conducted a narrative synthesis incorporating regulatory guidance documents from the FDA, EMA, and NMPA, alongside PubMed-indexed literature on surrogate endpoint validation, orphan drug approval, and biomarker qualification programs published up to early 2026.

resultsThe FDA's Accelerated Approval pathway and the EMA's Conditional Marketing Authorization represent the primary regulatory vehicles for surrogate-based approvals. A four-tier validation model is proposed, incorporating mechanistic plausibility, epidemiological association, quantitative surrogacy statistics, and confirmatory post-approval requirements. Case studies from neurology (spinal muscular atrophy) and metabolic disorders (lysosomal storage diseases) illustrate the context-of-use dependency of these surrogates. Cross-jurisdictional divergence in evidentiary standards and the absence of a dedicated ICH guideline for rare disease surrogate endpoints constitute major structural gaps.

conclusionsA globally harmonized evidentiary framework for surrogate endpoint qualification in ultra-rare diseases is urgently needed. Validating this framework in the ultra-rare space could serve as a stepping stone for broader rare disease drug development. Bayesian adaptive designs, international consortium registries, and real-world evidence frameworks are key enabling strategies for addressing the inherent sample-size constraints of this research.

Indexed as

Accelerated approvalBiomarkerHealth policyRegulatory scienceSurrogate endpointUltra-rare disease

Identifiers

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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.