Literature DB >> 34728453

Patient-reported outcomes (PROs) in randomised controlled trials in diabetes and pregnancy: protocol for a systematic review.

Christine Newman1, Oratile Kgosidialwa2, Louise Dervan2, Delia Bogdanet3, Aoife Maria Egan4, Linda Biesty5, Declan Devane5,6,7,8,9, Paula M O'Shea10, Fidelma Dunne2.   

Abstract

INTRODUCTION: Diabetes mellitus is the most common metabolic complication of pregnancy and its prevalence worldwide is rising. The number of randomised controlled trials (RCTs) being conducted in people with diabetes is also increasing. Many studies preferentially publish findings on clinical endpoints and do not report patient-reported outcomes (PROs). In studies that do include PROs, PRO reporting is often of poor quality.
METHODS: We will conduct this systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Using a combination of medical subject headings and keywords (combined using Boolean operators), we will search web-based databases (PubMed, Cochrane and EMBASE) for RCTs published in English between 2013 and 2021. Two reviewers will review titles and abstracts. We will review the full texts of any relevant abstracts and extract the following data: date of publication or recruitment period, journal of publication, country of study, multicentre or single centre, population and number of participants, type of intervention, frequency of PRO assessment and type of PRO (or PRO measurement) used. We will also record if the PRO was a primary, secondary or exploratory outcome. We will exclude reviews, observational studies, unpublished data for example, conference abstracts and trial protocols. Any published RCT that includes data on a PRO as a primary or secondary outcome will then be compared against the Consolidated Standards of Reporting Trials-Patient-Reported Outcome extension checklist, a structured and approved framework for the publication of results of PROs. ETHICS AND DISSEMINATION: Ethical approval to conduct this study was obtained from the ethics committee at Galway University Hospitals on 24 March 2021 (CA 2592). We aim to publish our findings in a peer-reviewed journal and present our findings at national and international conferences. SYSTEMATIC REVIEW REGISTRATION: This systematic review was registered prospectively with the International Prospective Register of Systematic Reviews (PROSPERO). Registration number CRD42021234917. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  diabetes in pregnancy; epidemiology; quality in healthcare; reproductive medicine

Mesh:

Year:  2021        PMID: 34728453      PMCID: PMC8565541          DOI: 10.1136/bmjopen-2021-052506

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   3.006


This is the first systematic review of patient-reported outcomes (PROs) in the area of diabetes in pregnancy. It will describe the adequacy of reporting in randomised controlled trials including PROs as a primary or secondary outcome. This systematic review is limited to trials conducted during pregnancy only and does not evaluate studies that aim to prevent the development of type 2 diabetes in women with previous gestational diabetes mellitus.

Introduction

Diabetes is the most common medical complication of pregnancy and causes considerable maternal and foetal morbidity.1 The International Diabetes Federation estimates that 2.2% of all pregnancies are affected by pregestational diabetes mellitus (PGDM) and it is well established that women with PGDM and their offspring have increased rates of complications including macrosomia, congenital anomaly, Caesarean section, pre-eclampsia and stillbirth.2–8 Gestational diabetes mellitus (GDM) is defined as any degree of glucose intolerance with onset or first recognition during pregnancy and usually resolves after the birth of the placenta. The prevalence of GDM is increasing worldwide paralleling the increasing rates of obesity and rising maternal age. Follow-on data from the landmark Hyperglycaemia and Adverse Pregnancy Outcomes study9 indicate that the worldwide prevalence of GDM is between 9.3% and 25.5%.10 Assessing the frequency and burden of GDM is not straightforward. The prevalence of GDM is affected by the use of different diagnostic criteria, rates of obesity and ethnic variations.2 11–13 Data regarding the prevalence of GDM are also affected by the use of universal versus risk-factor based screening; studies from two different centres in the Ireland in the last 10 years identified rates of GDM varying from 27.4% in those with identifiable risk factors14 versus 12.4% when universal screening is employed.11 As with PGDM, GDM is associated with complications for both mother and infant. Short-term complications include large for gestational age infants and macrosomia15 and hypertensive disorders16; and long-term complications include increased risk of obesity and glucose intolerance for both offspring17 and mother.18 Obesity alone without dysglycaemia is also associated with adverse pregnancy outcomes19 and there is growing evidence to support the additive risks posed by a combination of diabetes and obesity.20 Outside of pregnancy, the management and complications of diabetes can cause substantial distress for patients.21 This stress can be exacerbated by pregnancy and many women report anxiety during pregnancy.22 Furthermore it is well recognised that diabetes distress in pregnancy is a poor prognostic indicator and correlates with poor pregnancy outcomes.23 In recent years there has been a large increase in the number of randomised controlled trials (RCTs conducted in pregnancy; these studies often publish information on physiological parameters and frequently exclude psychological or quality of life data. Two recent core outcome sets (COSs) published in the areas of diabetes in pregnancy provide evidence that stakeholders often prioritise information on physiological, biochemical and birth outcomes over psychological and quality of life outcomes, even when such study groups include patient advocates and representative.24 25 While COSs provide expert guidance for researchers, these parameters fail to capture the unseen burden of therapeutic interventions.26 Patient-reported outcomes (PROs) are defined as ‘any report of the status of a patient’s health condition that comes directly from the patient without interpretation of the patient’s response by a clinician or anyone else’.27 PROs allow healthcare providers to appreciate ‘patients’ perspectives regarding treatment benefit and harm, directly measure treatment benefit and harm beyond survival, major morbid events and biomarkers, and are often the outcomes of most importance to patients and families’.27 PROs are increasingly incorporated into clinical trials to conduct cost analyses28; however, their use is not limited to this and some patient-reported-outcome measures (PROMs) correlate better with biochemical markers of disease activity or severity than traditional symptoms of the disease.29 The importance and value of PROs is well established in other areas of medicine however searches of web-based registries (PubMed, Cochrane, EMBASE, World of Science and CINAHL) identified no data on the use of PRO in studies of diabetes in pregnancy and a review of PROSPERO (a web-based registry for systematic reviews) found no systematic reviews summarising PROMs in this area. Our systematic review of PROs would be the first of its kind conducted in diabetes in pregnancy.

Objectives

This paper presents a protocol for a systematic review of the use of PROs in diabetes in pregnancy trials. Specifically we will identify the number of RCTs conducted in diabetes in pregnancy that have included a PRO in their primary or secondary endpoints (table 1).
Table 1

PICO statement for this systematic review

PopulationPregnant women with diabetes in pregnancy (either pregestational or gestational)
InterventionAny intervention during pregnancy, regardless of the duration of the intervention. Such interventions include but are not limited to the use of insulin or oral hypoglycaemic agents; insulin delivery systems; glucose monitoring of any description—frequency/continuous glucose monitoring, flash glucose monitoring; educational interventions; mHealth or mobile phone applications for contact; medications; exercise; dietary input or dietician input.
ComparisonAny
OutcomeAny patient-reported outcome
PICO statement for this systematic review The completeness and quality of reporting in these studies will be evaluated by comparing them to the Consolidated Standards of Reporting Trials—Patient-Reported Outcome (CONSORT-PRO) extension, a framework for grading the quality of PRO reporting in RCTs.30

Methods and analysis

This protocol has been registered and approved within the PROSPERO database (CRD42021234917). This systematic review will be conducted in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

Search strategy

We will search PubMed, CENTRAL via the Cochrane library and EMBASE online databases for RCTs published in English between 1/1/2013 and 20/1/2021. The CONSORT-PRO extension framework was published in 2013, so only studies published after 2013 are suitable for evaluation. The databases will be searched using a combination of medical subject headings headings and keywords (combined using Boolean operators). We will also manually search the references of published RCTs fitting the inclusion criteria, to ensure all relevant studies are found. Grey literature including Google Scholar, trial registries and conference abstracts will not be included as we aim to report on the quality of reporting in full-text published articles. The PICO format will be used to guide the search strategy and is described in table 1. A sample search strategy is demonstrated in table 2.
Table 2

Search strategy for the Cochrane database

IDSearchHits
#1MeSH descriptor: (Pregnancy in Diabetics) explode all trees314
#2Diabet* ti, ab, kw95 912
#3Gestational diabetes ti;ab;kw3348
#4Gestational diabetes mellitus2478
#5GDM ti;ab;kw1329
#6Pregnan* ti, ab, kw53 093
#7Hyperglycaemi* ti, ab, kw1456
#8Hyperglycemi* ti, ab, kw8419
#9Glycaemi* ti, ab, kw6031
#10Glycemi* ti, ab, kw15 327
#111 or 2 or 3 or 4 or 5 or 7 or 8 or 9 or 10102 855
#12Antenatal ti, ab, kw4697
#13Ante-natal ti, ab, kw65
#14Prenatal ti, ab, kw7005
#15Pre-natal ti, ab, kw63
#16#6 OR #12 OE #13 OR #14 OR #1570 816
#17#11 AND #1611 017

GDM, gestational diabetes mellitus; MeSH, medical subject headings.

Search strategy for the Cochrane database GDM, gestational diabetes mellitus; MeSH, medical subject headings.

Exclusion criteria

We will exclude studies published before 2013; unpublished data; conference abstracts; trial registries and trial protocols; reviews; observational studies; studies evaluating the effect of prepregnancy or postpregnancy interventions; studies evaluating postnatal interventions which aim to prevent GDM or prevent the progression of GDM to type 2 diabetes; studies which compared different diagnostic criteria for GDM and studies evaluating the effectiveness of interventions for women with obesity, polycystic ovarian syndrome or ‘high risk’ pregnancies, a subset of whom may have diabetes.

Identifying papers, data extraction and analysis

All publications identified by the above search strategies will be managed in Endnote X9. Following an initial scoping review, two reviewers independently reviewed 30 abstracts to ensure their inclusion criteria are aligned and will separately review all titles and abstracts to ensure their suitability (CN, LD). Any disagreements will be resolved through consultation with a third author (FD). Full-text papers of selected studies will be reviewed by two reviewers (CN, LD) who will each independently evaluate the completeness of PRO reporting by comparing published data against the CONSORT-PRO checklist. One point will be given to each item of the CONSORT-PRO checklist a study meets. This score will then be divided by the total number of available points—for example if a PRO is a primary outcome it must satisfy more domains than if it is a secondary outcome. We will then multiple this score by 100 (for ease of calculation) and calculate the average score for all included studies. Any individual study which scores above this number will be considered ‘above average’. To facilitate a multivariate analysis to determine factors associated with ‘above average’ PRO reporting, data shown in box 1 will be extracted and entered into a predesigned data extraction form. Quality against Consolidated Standards of Reporting Trials 2010 guidelines. Study type (eg, pilot randomised controlled trial (RCT), cluster RCT, secondary analysis). Single or multisite RCT. Number of participants. Detail of intervention in each group. Type of diabetes (type 1, type 2 or gestational diabetes mellitus). Patient-reported outcome measure used. Time points during trial which the patient-reported outcomes (PROs) were measured. Journal of publication. Year of publication. Country of origin. The use of PRO as a primary, secondary or exploratory outcome. Using this method we will be able to report on the quality of reporting in a large group of RCTs and will be able to generate information on the standards of reporting in smaller subsets for example, technological and pharmacological interventions, reporting standards in type 1 versus type 2 diabetes. We will also be able to report on the frequency of reporting for each individual item on the CONSORT-PRO checklist. During the full-text review we will compare the RCT reporting against the 25 point CONSORT statement which is ‘an evidence-based, minimum set of recommendations for reporting randomised trials’.31 We will use the same approach and scoring system when grading the quality of RCT reporting against the31 statement. When there is uncertainty or clarifications are required attempts will be made to contact the author of the paper for obtain further details. To explore factors associated with higher quality or more complete reporting, we will perform a multiple regression analysis in which the dependent variables will be the CONSORT-PRO checklist score and the independent variables will be type of diabetes, type of intervention, country of study, multi-site trial, population size, primary RCT or secondary analysis of a RCT. The quality of the individual trials will not be assessed as it is irrelevant to the aim of our systematic review. The aim of our systematic review is to establish the quality and completeness of PRO reporting in RCTs of diabetes in pregnancy. The identification and grading of these PROs is not based on study quality/bias and we will not be making comparisons between outcomes reported from studies at different risks of bias.

Ethics and dissemination

Ethical approval to conduct this study was obtained from the ethics committee at Galway University Hospitals on 24 March 21 (CA 2592). We aim to publish our findings in a peer-reviewed journal and present our findings at national and international conferences.

Systematic review registration

This systematic review was registered prospectively with the International Prospective Register of Systematic Reviews (PROSPERO). Registration number CRD42021234917

Patient and public involvement

There was no patient or public involvement in the development of this systematic review protocol.

Discussion

Since the early 2000s the use of PROs in experimental studies has grown exponentially. In 2009 the Food and Drug Administration (FDA) issued formal guidelines for the use and inclusion of PROs in product labelling.32 This undoubtedly contributed to the 500% increase in the inclusion of PROs in regulatory applications from 2010 to 2015. In response to this increase, in 2016 the Centre for Devices and Radiological, a branch of the FDA, moved to include PROs as evidence in their decision-making process and continue to encourage the inclusion of PROs in investigational studies.33 In Europe, the European Medicines Agency has committed to exploring ‘additional methodologies to gather and use patient data from the wider patient community during benefit-risk evaluation’.34 This increased emphasis on PRO data collection has without question had a knock-on effect on the inclusion of PROs in published studies. In the past 5 years there has been several publications that have highlighted the diversity of PRO measurement and the quality of PRO reporting in RCTs in areas such as cystic fibrosis, oncology and haematology.35–37 More recently, PROs have been increasingly used in diabetes.38 A joint statement by the American Diabetes Association National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)39 has highlighted the relevance of PROs in diabetes trials. A study outlining the broad range of PROMs used in type 2 diabetes has recently been published and there is much discussion regarding the most appropriate PROs to use in different types of diabetes.40 41 Their importance is also well recognised in pregnancy.42 Despite this the use of PROs in the area of diabetes in pregnancy has not been explored and to our knowledge this is the first systematic review of PROs in this field. This systematic review will summarise the PROMs currently used in diabetes in pregnancy and provide information on when and in what patient cohorts PROs are collected. It will also allow us to identify factors associated with more complete reporting. This will help clinicians and patients make informed decisions on the effectiveness of treatments.
  39 in total

1.  Atlantic DIP: high prevalence of abnormal glucose tolerance post partum is reduced by breast-feeding in women with prior gestational diabetes mellitus.

Authors:  Michael W O'Reilly; Gloria Avalos; Michael C Dennedy; Eoin P O'Sullivan; Fidelma Dunne
Journal:  Eur J Endocrinol       Date:  2011-09-21       Impact factor: 6.664

2.  CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials.

Authors:  David Moher; Sally Hopewell; Kenneth F Schulz; Victor Montori; Peter C Gøtzsche; P J Devereaux; Diana Elbourne; Matthias Egger; Douglas G Altman
Journal:  BMJ       Date:  2010-03-23

3.  ATLANTIC-DIP: raised maternal body mass index (BMI) adversely affects maternal and fetal outcomes in glucose-tolerant women according to International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria.

Authors:  Michael Conall Dennedy; Gloria Avalos; Michael W O'Reilly; Eoin P O'Sullivan; Geraldine Gaffney; Fidelma Dunne
Journal:  J Clin Endocrinol Metab       Date:  2012-02-08       Impact factor: 5.958

4.  Specific birth defects in pregnancies of women with diabetes: National Birth Defects Prevention Study, 1997-2011.

Authors:  Sarah C Tinker; Suzanne M Gilboa; Cynthia A Moore; D Kim Waller; Regina M Simeone; Shin Y Kim; Denise J Jamieson; Lorenzo D Botto; Jennita Reefhuis
Journal:  Am J Obstet Gynecol       Date:  2019-08-24       Impact factor: 8.661

5.  Projections of the prevalence of hyperglycaemia in pregnancy in 2019 and beyond: Results from the International Diabetes Federation Diabetes Atlas, 9th edition.

Authors:  Lili Yuen; Pouya Saeedi; Musarrat Riaz; Suvi Karuranga; Hema Divakar; Naomi Levitt; Xilin Yang; David Simmons
Journal:  Diabetes Res Clin Pract       Date:  2019-09-10       Impact factor: 5.602

6.  Perinatal depression and birth outcomes in a Healthy Start project.

Authors:  Megan V Smith; Lin Shao; Heather Howell; Haiqun Lin; Kimberly A Yonkers
Journal:  Matern Child Health J       Date:  2011-04

7.  Hyperglycemia and adverse pregnancy outcomes.

Authors:  Boyd E Metzger; Lynn P Lowe; Alan R Dyer; Elisabeth R Trimble; Udom Chaovarindr; Donald R Coustan; David R Hadden; David R McCance; Moshe Hod; Harold David McIntyre; Jeremy J N Oats; Bengt Persson; Michael S Rogers; David A Sacks
Journal:  N Engl J Med       Date:  2008-05-08       Impact factor: 91.245

8.  Application of patient-reported outcome measures (PROMs) data to estimate cost-effectiveness of hernia surgery in England.

Authors:  Sophie Coronini-Cronberg; John Appleby; James Thompson
Journal:  J R Soc Med       Date:  2013-05-28       Impact factor: 5.344

9.  Epidemiology of gestational diabetes mellitus according to IADPSG/WHO 2013 criteria among obese pregnant women in Europe.

Authors:  Aoife M Egan; Akke Vellinga; Jürgen Harreiter; David Simmons; Gernot Desoye; Rosa Corcoy; Juan M Adelantado; Roland Devlieger; Andre Van Assche; Sander Galjaard; Peter Damm; Elisabeth R Mathiesen; Dorte M Jensen; Liselotte Andersen; Annuziata Lapolla; Maria G Dalfrà; Alessandra Bertolotto; Urszula Mantaj; Ewa Wender-Ozegowska; Agnieszka Zawiejska; David Hill; Judith G M Jelsma; Frank J Snoek; Christof Worda; Dagmar Bancher-Todesca; Mireille N M van Poppel; Alexandra Kautzky-Willer; Fidelma P Dunne
Journal:  Diabetologia       Date:  2017-07-12       Impact factor: 10.122

Review 10.  The impact of diagnostic criteria for gestational diabetes on its prevalence: a systematic review and meta-analysis.

Authors:  Samira Behboudi-Gandevani; Mina Amiri; Razieh Bidhendi Yarandi; Fahimeh Ramezani Tehrani
Journal:  Diabetol Metab Syndr       Date:  2019-02-01       Impact factor: 3.320

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