Reporting and handling of missing data in predictive research for prevalent undiagnosed type 2 diabetes mellitus: a systematic review. (Record no. 4025)

MARC details
000 -LEADER
fixed length control field 02852nam a22003257a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190118s20152015 xxu||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1878-5077
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.1186/s13167-015-0028-0 [doi]
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 28 [pii]
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code PMC4380106 [pmc]
040 ## - CATALOGING SOURCE
Original cataloging agency Ovid MEDLINE(R)
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
PMID 25829972
245 ## - TITLE STATEMENT
Title Reporting and handling of missing data in predictive research for prevalent undiagnosed type 2 diabetes mellitus: a systematic review.
251 ## - Source
Source The EPMA Journal. 6(1):7, 2015.
252 ## - Abbreviated Source
Abbreviated source EPMA J. 6(1):7, 2015.
253 ## - Journal Name
Journal name The EPMA journal
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Year 2015
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Manufacturer FY2016
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE]
Publication status epublish
266 ## - Date added to catalog
Date added to catalog 2019-01-18
520 ## - SUMMARY, ETC.
Abstract Missing values are common in health research and omitting participants with missing data often leads to loss of statistical power, biased estimates and, consequently, inaccurate inferences. We critically reviewed the challenges posed by missing data in medical research and approaches to address them. To achieve this more efficiently, these issues were analyzed and illustrated through a systematic review on the reporting of missing data and imputation methods (prediction of missing values through relationships within and between variables) undertaken in risk prediction studies of undiagnosed diabetes. Prevalent diabetes risk models were selected based on a recent comprehensive systematic review, supplemented by an updated search of English-language studies published between 1997 and 2014. Reporting of missing data has been limited in studies of prevalent diabetes prediction. Of the 48 articles identified, 62.5% (n = 30) did not report any information on missing data or handling techniques. In 21 (43.8%) studies, researchers opted out of imputation, completing case-wise deletion of participants missing any predictor values. Although imputation methods are encouraged to handle missing data and ensure the accuracy of inferences, this has seldom been the case in studies of diabetes risk prediction. Hence, we elaborated on the various types and patterns of missing data, the limitations of case-wise deletion and state-of the-art methods of imputations and their challenges. This review highlights the inexperience or disregard of investigators of the effect of missing data in risk prediction research. Formal guidelines may enhance the reporting and appropriate handling of missing data in scientific journals.
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element PubMed-not-MEDLINE -- Not indexed
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Institution Medstar Union Memorial Hospital
657 ## - INDEX TERM--FUNCTION
Medline publication type Journal Article
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Echouffo-Tcheugui, Justin B
790 ## - Authors
All authors Echouffo-Tcheugui JB, Erasmus RT, Kengne AP, Masconi KL, Matsha TE
856 ## - ELECTRONIC LOCATION AND ACCESS
DOI <a href="https://dx.doi.org/10.1186/s13167-015-0028-0">https://dx.doi.org/10.1186/s13167-015-0028-0</a>
Public note https://dx.doi.org/10.1186/s13167-015-0028-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
Item type description Article
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          MedStar Authors Catalog MedStar Authors Catalog 01/18/2019   25829972 25829972 01/18/2019 01/18/2019 Journal Article

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