Evidence map›Paper›PMID 38226913›Full record

ReviewJournal of comparative effectiveness research2024

Navigating the unknown: how to best 'reflect' standard of care in indications without a dedicated treatment pathway in health technology assessment submissions.

Grammati Sarri, Maria Rizzo, Sheela Upadhyaya, Victoria Federico Paly, Luis Hernandez

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of comparative effectiveness research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 15% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Grammati SarriCytel, Inc., London, UK.ORCID 0000-0001-5536-8038
Maria RizzoCytel, Inc., London, UK.ORCID 0000-0001-5741-0199
Sheela Upadhyaya
Victoria Federico PalyTakeda Pharmaceuticals America, Inc., Lexington, MA, USA.
Luis HernandezTakeda Pharmaceuticals America, Inc., Lexington, MA, USA.ORCID 0000-0002-9532-546X
Takeda (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an urgent need for expedited approval and access for new health technologies targeting rare and very rare diseases, some of which are associated with high unmet treatment needs. Once a new technology achieves regulatory approval, the technology needs to be assessed by health technology assessment (HTA) bodies to inform coverage and reimbursement decisions. This assessment quantitatively examines the clinical effectiveness, safety and/or economic impact of the new technology relative to standard of care (SoC) in a specific market. However, in rare and very rare diseases, the patient populations are small and there is often no established treatment pathway available to define 'SoC'. In these situations, several challenges arise to assess the added benefit of a new technology - both clinically and economically - due to lack of established SoC to guide an appropriate comparator selection. These challenges include: How should 'SoC' be defined and characterized in HTA submissions for new technologies aiming to establish new treatment standards? What is usual care without an established clinical pathway? How should the evidence for the comparator 'SoC' (i.e., usual care) arm be collected in situations with low patient representation and, sometimes, limited disease-specific clinical knowledge in certain geographies? This commentary outlines the evidence generation challenges in designing clinical comparative effectiveness for a new technology when there is a lack of established SoC. The commentary also proposes considerations to facilitate the reliable integration of real-world evidence into HTA and decision-making based on the collective experience of the authors.

Indexed as

Rare DiseasesTechnology Assessment, BiomedicalHumansStandard of CareTreatment Outcomehealth technology assessmentoncologyrare diseasesreal-world evidencesingle-arm trials

Identifiers

PMID38226913
PMCPMC10842305
OpenAlexW4390919639

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.