Evidence map›Paper›PMID 36997632›Full record

ArticleScientific reports2023

Traceability and comparability through crosswalks with the NeuroMET Memory Metric.

J Melin, S J Cano, A Gillman, S Marquis, A Flöel, L Göschel, L R Pendrill

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
0.7field-weighted citation impact, top 32% 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, 3 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

7 authors at 4 institutions in 3 countries.

J MelinDivision Safety and Transport, Division Measurement Science and Technology, RISE, Research Institutes of Sweden, Gothenburg, Sweden. jeanette.melin@ri.se.
S J CanoModus Outcomes Ltd, 4th Floor St. James House, St. James Square, Cheltenham, GL50 3PR, England, UK.
A GillmanModus Outcomes Ltd, 4th Floor St. James House, St. James Square, Cheltenham, GL50 3PR, England, UK.
S MarquisModus Outcomes LLC, CIC, 1 Broadway, 14th Floor, Cambridge, MA, 02142, USA.
A FlöelDepartment of Neurology, University Medicine Greifswald, Greifswald, Germany.
L GöschelCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Department of Neurology, Charitéplatz 1, 10117, Berlin, Germany.
L R PendrillDivision Safety and Transport, Division Measurement Science and Technology, RISE, Research Institutes of Sweden, Gothenburg, Sweden.
Health Economics and Outcomes Research (United Kingdom) · GBRISE Research Institutes of Sweden · SEHumboldt-Universität zu Berlin · DEUniversitätsmedizin Greifswald · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of memory ability for persons on the continuum of Alzheimer's disease (AD) is vital for early diagnosis, monitoring of disease progression and evaluation of new therapies. However, currently available neuropsychological tests suffer from a lack of standardization and metrological quality assurance. Improved metrics of memory can be created by carefully combining selected items from legacy short-term memory tests, whilst at the same time retaining validity, and reducing patient burden. In psychometrics, this is known as "crosswalks" to link items empirically. The aim of this paper is to link items from different types of memory tests. Memory test data were collected from the European EMPIR NeuroMET and the SmartAge studies recruited at Charité Hospital (Healthy controls n = 92; Subjective cognitive decline n = 160; Mild cognitive impairment n = 50; and AD n = 58; age range 55-87). A bank of items (n = 57) was developed based on legacy short-term memory items (i.e., Corsi Block Test, Digit Span Test, Rey's Auditory Verbal Learning Test, Word Learning Lists from the CERAD test battery and Mini Mental State Examination; MMSE). The NeuroMET Memory Metric (NMM) is a composite metric that comprises 57 dichotomous items (right/wrong). We previously reported on a preliminary item bank to assess memory based on immediate recall, and have now demonstrated direct comparability of measurements generated from the different legacy tests. We created crosswalks between the NMM and the legacy tests and between the NMM and the full MMSE using Rasch analysis (RUMM2030) and produced two conversion tables. Measurement uncertainties for estimates of person memory ability with the NMM across the full span were smaller than all individual legacy tests, which demonstrates the added value of the NMM. Comparisons with one (MMSE) of the legacy tests showed however higher measurement uncertainties of the NMM for people with a very low memory ability (raw score ≤ 19). The conversion tables developed through crosswalks in this paper provide clinicians and researchers with a practical tool to: (i) compensate for ordinality in raw scores, (ii) ensure traceability to make reliable and valid comparisons when measuring person ability, and (iii) enable comparability between test results from different legacy tests.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedAged, 80 and overDisease ProgressionHumansMiddle AgedNeuropsychological TestsVerbal Learning

Identifiers

PMID36997632
PMCPMC10063602
OpenAlexW4361273583

What OpenQuestion 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 OpenQuestion graph.