Unique ID issued by UMIN | UMIN000026103 |
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Receipt number | R000029995 |
Scientific Title | Epidemiology and Reporting Characteristics of Systematic Reviews for Prediction Modeling Studies of Clinical Research in PROSPERO |
Date of disclosure of the study information | 2017/02/14 |
Last modified on | 2017/03/18 15:28:30 |
Epidemiology and Reporting Characteristics of Systematic Reviews for Prediction Modeling Studies of Clinical Research in PROSPERO
Reporting Characteristics of Systematic Reviews of Prediction Modeling Studies
Epidemiology and Reporting Characteristics of Systematic Reviews for Prediction Modeling Studies of Clinical Research in PROSPERO
Reporting Characteristics of Systematic Reviews of Prediction Modeling Studies
Japan |
not applicable
Not applicable |
Others
NO
The aim of our study is to investigate the epidemiological and reporting characteristics of PROSPERO registered systematic review of prediction model.
Others
We will compare characteristics of Cochrane protocol versus non-Cochrane review protocols, and the sample published prior to 2015 versus after 2015.
Others
Others
Not applicable
We plan to describe the reporting characteristics using the PRSIMA checklist. In addition, we plan to describe relevant items refered in CHARM checklist.
We will compare characteristics of Cochrane protocol versus non-Cochrane review protocols, and the sample published prior to 2015 versus after 2015.
Others,meta-analysis etc
Not applicable |
Not applicable |
Male and Female
PROSPERO (https://www.crd.york.ac.uk/PROSPERO/) registered published systematic reviews of prognostic modeling studies until 18th February in 2017.
We will include systematic reviews of prediction modeling studies consistent with the scope of CHARMS checklist.
We will include prediction model development studies without external validation aim to develop a prognostic or diagnostic prediction model from the dataset at hand; prediction model development studies with external validation in independent data; external model validation studies with or without model updating (1).
(1) Moons KGM, de Groot JAH, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG, et al. Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist. PLoS Med. 2014;11(10).
We will exclude prediction studies exploring which predictors independently contribute to the prediction of a particular outcome as well as studies aimed at quantifying the impact of using a prediction model (1).
(1) Moons KGM, de Groot JAH, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG, et al. Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist. PLoS Med. 2014;11(10).
50
1st name | |
Middle name | |
Last name | Hiraku Tsujimoto |
Hyogo Prefectural Amagasaki General Medical Center
Hospital Care Research Unit
Higashi-Naniwa-Cho 2-17-77, Amagasaki, Hyogo 660-8550, Japan.
06-6480-7000
hira_to_ber-trialregistry@yahoo.co.jp
1st name | |
Middle name | |
Last name | Hiraku Tsujimoto |
Hyogo Prefectural Amagasaki General Medical Center
Hospital Care Research Unit
Higashi-Naniwa-Cho 2-17-77, Amagasaki, Hyogo 660-8550, Japan.
06-6480-7000
hira_to_ber-trialregistry@yahoo.co.jp
Hospital Care Research Unit, Hyogo Prefectural Amagasaki General Medical Center, Higashi-Naniwa-Cho 2-17-77, Amagasaki, Hyogo 660-8550, Japan.
None
Self funding
NO
2017 | Year | 02 | Month | 14 | Day |
Unpublished
We identified 1058 published SR protocols in the PROSPERO. Of them, 101 protocols were in prognostic or diagnostic categories. We identified 45 records through the Web of Science citation search. Total seven SRs (0.66%) of over 65,000 patients' data were included. No Cochrane review was identified. The reporting characteristics were highly variable especially for relevant items of the CHARMS in their protocols. Over half of the reviews did not even pre-specify the outcome to be predicted. Moreover, one study multiplied the outcome at the review phase and did not mention the change in the review.
Completed
2017 | Year | 02 | Month | 14 | Day |
2017 | Year | 02 | Month | 18 | Day |
2017 | Year | 03 | Month | 14 | Day |
2017 | Year | 03 | Month | 14 | Day |
<Data souse>
We will search the PROSPERO record (https://www.crd.york.ac.uk/PROSPERO/) using the prognostic and diagnostic filter as the type and method of review search filters and the published filter as the status of the review search filters. In addition, we searched for papers citing the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS) using the Web of Science.
<Data synthesis>
We plan to describe the reporting characteristics using the PRSIMA checklist. In addition, we plan to describe relevant items refered in the CHARM checklist (1). We will compare characteristics of Cochrane protocol versus non-Cochrane review protocols, and the sample published prior to 2014 versus after 2015.
(1). Moons KGM, de Groot JAH, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG, et al. Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist. PLoS Med. 2014;11(10).
2017 | Year | 02 | Month | 12 | Day |
2017 | Year | 03 | Month | 18 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000029995
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