Evidence map›Paper›PMID 28225495›Full record

ArticleMedicine2017

The multimorbidity interaction severity index (MISI): A proof of concept study.

Dimitri Gassmann, Marcus Cheetham, Klarissa Siebenhuener, Barbara M Holzer, Claudine Meindl-Fridez, Florian F Hildenbrand, Vanessa Virgini, Mike Martin, Edouard Battegay

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. An International Perspective on Chronic Multimorbidity: Approaching the Elephant in the Room.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Article
  6. Review
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

9 authors at 1 institution in 1 country.

Dimitri GassmannDepartment of Internal Medicine, University Hospital Zurich Center of Competence Multimorbidity University Research Priority Program "Dynamics of Healthy Aging," University of Zurich Department of Dermatology, University Hospital Zurich Division of Gerontopsychology and Gerontology, Department of Psychology, University of Zurich, Zurich, Switzerland.
Marcus Cheetham
Klarissa Siebenhuener
Barbara M Holzer
Claudine Meindl-Fridez
Florian F Hildenbrand
Vanessa Virgini
Mike Martin
Edouard Battegay
Creative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic decision-making for patients with multimorbidity (MM) is challenging. Clinical practice guidelines inadequately address harmful interactions and resulting therapeutic conflicts within and among diseases. A patient-specific measure of MM severity that takes account of this conflict is needed.As a proof of concept, we evaluated whether the new Multimorbidity Interaction Severity Index (MISI) could be used to reliably differentiate patients in terms of lower versus higher potential for harmful interactions.Two hypothetical patient cases were generated, each with 6 concurrent morbidities. One case had a low (i.e., low conflict case) and the other a high (i.e., high conflict case) potential for harmful interactions. All possible interactions between conditions and treatments were extracted from each case's record into a multimorbidity interaction matrix. Experienced general internists (N = 18) judged each interaction in the matrix in terms of likely resource utilization needed to manage the interaction. Based on these judgements, a composite index of MM interaction severity, that is, the MISI, was generated for each physician and case.The difference between each physician's MISI score for the 2 cases (MISIdiff) was computed. Based on MISIdiff, the high conflict case was judged to be of significantly greater MM severity than was the low conflict case. The positive values of the inter-quartile range, a measure of variation (or disagreement) between the 2 cases, indicated general consistency of individual physicians in judging MM severity.The data indicate that the MISI can be used to reliably differentiate hypothetical multimorbid patients in terms of lesser versus greater severity of potentially harmful interactive effects. On this basis, the MISI will be further developed for use in patient-specific assessment and management of MM. The clinical relevance of the MISI as an alternative approach to defining MM severity is discussed.

Indexed as

ComorbidityDecision Making, Computer-AssistedDecision Support Systems, ClinicalSeverity of Illness IndexFemaleHumansInternal MedicineMalePhysicians

Identifiers

PMID28225495
PMCPMC5569438
OpenAlexW2589503552

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.