Evidence map›Paper›PMID 30335184›Full record

ArticleJournal of the American Geriatrics Society2018

Adaptation and Initial Validation of Minimum Data Set (MDS) Mortality Risk Index to MDS Version 3.0.

Joshua D Niznik, Song Zhang, Maria K Mor, Xinhua Zhao, Mary Ersek, Sherrie L Aspinall, Walid F Gellad, Joshua M Thorpe, Joseph T Hanlon, Loren J Schleiden and 2 more

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of the American Geriatrics Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

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  12. Are Nursing Home Residents With Dementia Appropriately Treated for Fracture Prevention?Journal of the American Medical Directors Association · 2021
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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

12 authors at 5 institutions in 2 countries.

Joshua D NiznikCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Song ZhangCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Maria K MorCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Xinhua ZhaoCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Mary ErsekNational PROMISE Center; Philadelphia Veterans Affairs Medical Center, Philadelphia, Pennsylvania.
Sherrie L AspinallCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Walid F GelladCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Joshua M ThorpeCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Joseph T HanlonCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Loren J SchleidenCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Sydney SpringerCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Carolyn T ThorpeCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
VA Pittsburgh Healthcare System · USUniversity of Pittsburgh · USGeriatric Research Education and Clinical Center · USUniversity of Pennsylvania · USVeterans Health Administration · US

Funding

Pitt Integrated Clinical and Geroscience Research Training ProgramT32AG021885 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aditi U Gurkar · 2003 to 2026
$6.7M
HSRD VA I01 HX001759NIA NIH HHS T32 AG021885
6 · The paper itself

Abstract

objectivesTo evaluate the predictive validity of an adapted version of the Minimum Data Set (MDS) Mortality Risk Index-Revised (MMRI-R) based on MDS version 3.0 assessment items (MMRI-v3) and to compare the predictive validity of the MMRI-v3 with that of a single MDS item indicating limited life expectancy (LLE).

designRetrospective, cross-sectional study of MDS assessments. Other data sources included the Veterans Affairs (VA) Residential History File and Vital Status File.

settingVA nursing homes (NHs).

participantsVeterans aged 65 and older newly admitted to VA NHs between July 1, 2012, and September 30, 2015. MEASUREMENTS: The dependent variable was death within 6 months of admission date. Independent variables included MDS items used to calculate MMRI-v3 scores (renal failure, chronic heart failure, sex, age, dehydration, cancer, unintentional weight loss, shortness of breath, activity of daily living scale, poor appetite, acute change in mental status) and the MDS item indicating LLE.

resultsThe predictive ability of the MMRI-v3 for 6-month mortality (c-statistic 0.81) is as good as that of the original MMRI-R (c-statistic 0.76). Scores generated using the MMRI-v3 had greater predictive ability than that of the single MDS indicator for LLE (c-statistic 0.76); using the 2 together resulted in greater predictive ability (c-statistic 0.86).

conclusionThe MMRI-v3 is a useful tool in research and clinical practice that accurately predicts 6-month mortality in veterans residing in Veterans Affairs NHs. Identification of residents with LLE has great utility for studying palliative care interventions and may be helpful in guiding allocation of these services in clinical practice. J Am Geriatr Soc 66:2353-2359, 2018.

Indexed as

Nursing HomesPredictive Value of TestsAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMortalityRetrospective StudiesRisk AssessmentUnited StatesUnited States Department of Veterans AffairsMDSmortalitynursing homeprognostic index

Identifiers

PMID30335184
PMCPMC7477706
OpenAlexW2897705986

What Socratic holds

Textmetadata
LicenceTDM
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.