Evidence map›Paper›PMID 21909992›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2011

Data mining for response shift patterns in multiple sclerosis patients using recursive partitioning tree analysis.

Yuelin Li, Carolyn E Schwartz

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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. The value of patient-reported outcome measures for multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. How peoples' ratings of dental implant treatment change over time?Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  11. Advancing quality-of-life research by deepening our understanding of response shift: a unifying theory of appraisal.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
  12. Article
  13. Introduction to special section on response shift at the item level.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
  14. How recent health-related life events affected my perspective on quality-of-life research.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
    Article
  15. Identifying reprioritization response shift in a stroke caregiver population: a comparison of missing data methods.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
    Observational
  16. Method variation in the impact of missing data on response shift detection.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
    Article
  17. Guidelines for secondary analysis in search of response shift.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2013
    Article
  18. Article
  19. Response shift in patients with multiple sclerosis: an application of three statistical techniques.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2011
    Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors.

Yuelin LiBehavioral Science, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Carolyn E Schwartz

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024996 · NCRR · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2007 to 2011
$49.6M
NCRR NIH HHS UL1-RR024996
6 · The paper itself

Abstract

aimsTo examine evidence of QOL response shift in patients with multiple sclerosis (MS) using recursive partitioning tree analysis (RPART) technique.

methodsSUBJECTS: MS patients from the NARCOMS registry assessed an average of 6 times at a median interval of 6 months. OUTCOMES: SF-12v2 Physical & Mental Component Scores (PCS, MCS). Covariates: Patient-determined disease steps, Performance Scales, and symptomatic therapies. RPART trees were fitted separately by 3 disease-trajectory groups: (1) relapsing (n = 1,582); (2) stable (n = 787); and (3) progressive (n = 639). The resulting trees were interpreted by identifying salient terminal nodes that showed the unexpected quantitative patterns of contrasting MCS and PCS scores (e.g., PCS deteriorates but MCS is stable or improves), using a minimally important difference of at least 5 points on the SF-12v2. Qualitative indicators of response shift were different thresholds (recalibration), content (reconceptualization), and order (reprioritization) of disability domains in predicting PCS change by group.

resultsOverall, 20% of patients demonstrated response shift quantitatively, with 10% in the "progressive" cohort, 8% in the "relapsing" cohort, and 2% in the "stable" cohort. RPART trees differed qualitatively across disease-trajectory groups in patterns suggestive of recalibration, reprioritization, and reconceptualization. Disability subscales, but not symptom management, distinguished homogenous groups.

conclusionsPCS and MCS change scores are obfuscated by response shifts. The contingent true scores for PCS change scores are not comparable across patient groups.

Indexed as

Sickness Impact ProfileAdultData MiningDisease ProgressionFemaleHumansMaleMultiple SclerosisNorth AmericaRegistriesRemission, SpontaneousSelf Report

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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.