Evidence map›Paper›PMID 39438971›Full record

ReviewOrphanet journal of rare diseases2024

Uncertainties in evaluating the health-related quality of life and disease burden of people with rare diseases and their caregivers in NICE HST submissions.

Alissa Looby, Amy Dymond, William Green, Hannah Wentzel, Kinga Malottki

Abstract readReview
In one paragraph

Review in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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.

Alissa LoobyYork Health Economics Consortium, York, UK.
Amy DymondYork Health Economics Consortium, York, UK.
William GreenYork Health Economics Consortium, York, UK.
Hannah WentzelSanofi, Reading, UK.
Kinga MalottkiSanofi, Reading, UK. kinga.malottki@sanofi.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe NICE Highly Specialised Technology (HST) programme evaluates interventions for very rare conditions within the UK. This review aimed to analyse previous NICE HST appraisals and determine commonly used methods to overcome uncertainties relating to health-related quality of life (HRQoL) and disease burden for people with rare diseases and their caregivers. The review also aimed to identify areas where further methodological development is required. APPROACH AND

resultsA targeted review of all previous NICE HST appraisals published by the 28th February 2022, in which at least one committee meeting had taken place, was conducted. A total of 24 appraisals were included (17 fully completed and seven ongoing). Data were extracted by one reviewer. The evidence review group (ERG) and committee comments were compared against the NICE reference case and synthesised to identify the following methodological uncertainties that occurred most commonly: using alternatives to the EuroQol-5 Dimension (EQ-5D), sourcing HRQoL data from single-arm studies, measuring caregiver disutilities and estimating disease burden.

conclusionsThis review has highlighted the need for new methodology to reflect the impact of the diseases on people with rare diseases and their families. The review identified the following methodological requirements: alternative approaches that should be used when EQ-5D is not appropriate, methods to evaluate paediatric HRQoL and methods to quantify disease burden. This review also highlights the need to establish clear recommendations on the estimation of utilities across different rare diseases.

Indexed as

CaregiversQuality of LifeRare DiseasesCost of IllnessHumansUncertaintyUnited KingdomHealth-related quality of lifeHighly specialised technologiesNICERare diseases

Identifiers

PMID39438971
PMCPMC11494764

What Socratic 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 Socratic graph.