Cargando…
The obstetrical research landscape: a cross-sectional analysis of clinical trials from 2007-2020
BACKGROUND: Obstetrical complications affect more than a third of women globally, but are underrepresented in clinical research. Little is known about the comprehensive obstetrical clinical trial landscape, how it compares with other fields, or factors associated with the successful completion of ob...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537600/ https://www.ncbi.nlm.nih.gov/pubmed/33043288 http://dx.doi.org/10.1016/j.ajogmf.2020.100253 |
_version_ | 1783590698573889536 |
---|---|
author | Steinberg, Jecca R. Weeks, Brannon T. Reyes, Griselda A. Conway Fitzgerald, Alison Zhang, Wendy Y. Lindsay, Sarah E. Anderson, Jill N. Chan, Katelyn Richardson, Michael T. Magnani, Christopher J. Igbinosa, Irogue Girsen, Anna El-Sayed, Yasser Y. Turner, Brandon E. Lyell, Deirdre J. |
author_facet | Steinberg, Jecca R. Weeks, Brannon T. Reyes, Griselda A. Conway Fitzgerald, Alison Zhang, Wendy Y. Lindsay, Sarah E. Anderson, Jill N. Chan, Katelyn Richardson, Michael T. Magnani, Christopher J. Igbinosa, Irogue Girsen, Anna El-Sayed, Yasser Y. Turner, Brandon E. Lyell, Deirdre J. |
author_sort | Steinberg, Jecca R. |
collection | PubMed |
description | BACKGROUND: Obstetrical complications affect more than a third of women globally, but are underrepresented in clinical research. Little is known about the comprehensive obstetrical clinical trial landscape, how it compares with other fields, or factors associated with the successful completion of obstetrical trials. OBJECTIVE: This study aimed to characterize obstetrical clinical trials registered on ClinicalTrials.gov with the primary objective of identifying features associated with early discontinuation and results reporting. STUDY DESIGN: This is a cross-sectional study with descriptive, logistic regression and Cox regression analyses of clinical trials registered on ClinicalTrials.gov. Our primary exposure variables were trial focus (obstetrical or nonobstetrical) and trial funding (industry, United States government, or academic). We conducted additional exploratory analyses of other trial features including design, enrollment, and therapeutic focus. We examined the associations of exposure variables and other trial features with 2 primary outcomes: early discontinuation and results reporting. RESULTS: We downloaded data for all studies (N=332,417) registered on ClinicalTrials.gov from October 1, 2007, to March 9, 2020, from the Aggregate Analysis of ClinicalTrials.gov database. We excluded studies with a noninterventional design (n=63,697) and those registered before October 1, 2007 (n=45,209). A total of 4276 obstetrical trials (1.9%) (ie, interventional studies) and 219,235 nonobstetric trials (98.1%) were compared. Among all trials, 2.8% of academic-funded trials, 1.9% of United States government–funded trials, and 0.4% of industry-funded trials focused on obstetrics. The quantity of obstetrical trials increased over time (10.8% annual growth rate). Compared with nonobstetrical trials, obstetrical trials had a greater risk of early discontinuation (adjusted hazard ratio, 1.40; 95% confidence interval, 1.21–1.62; P<.0001) and similar odds of results reporting (adjusted odds ratio, 0.89; 95% confidence interval, 0.72–1.10; P=.19). Among obstetrical trials funders after controlling for confounding variables, United States government–funded trials were at the lowest risk of early discontinuation (United States government, adjusted hazard ratio, 0.23; 95% confidence interval, 0.07–0.69; P=.009; industry reference; academic, adjusted hazard ratio, 1.04; 95% confidence interval, 0.62–1.74; P=.88). Academic-funded trials had the lowest odds of results reporting after controlling for confounding variables (academic institutions, adjusted odds ratio, 0.39; 95% confidence interval, 0.22–0.68; P=.0009; industry reference; United States government, adjusted odds ratio, 1.06; 95% confidence interval, 0.53–2.09; P=.87). CONCLUSION: Obstetrical trials represent only 1.9% of all clinical trials in ClinicalTrials.gov and have comparatively poor completion. All stakeholders should commit to increasing the number of obstetrical trials and improving their completion and dissemination to ensure clinical research reflects the obstetrical burden of disease and advances maternal health. |
format | Online Article Text |
id | pubmed-7537600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75376002020-10-07 The obstetrical research landscape: a cross-sectional analysis of clinical trials from 2007-2020 Steinberg, Jecca R. Weeks, Brannon T. Reyes, Griselda A. Conway Fitzgerald, Alison Zhang, Wendy Y. Lindsay, Sarah E. Anderson, Jill N. Chan, Katelyn Richardson, Michael T. Magnani, Christopher J. Igbinosa, Irogue Girsen, Anna El-Sayed, Yasser Y. Turner, Brandon E. Lyell, Deirdre J. Am J Obstet Gynecol MFM Original Research BACKGROUND: Obstetrical complications affect more than a third of women globally, but are underrepresented in clinical research. Little is known about the comprehensive obstetrical clinical trial landscape, how it compares with other fields, or factors associated with the successful completion of obstetrical trials. OBJECTIVE: This study aimed to characterize obstetrical clinical trials registered on ClinicalTrials.gov with the primary objective of identifying features associated with early discontinuation and results reporting. STUDY DESIGN: This is a cross-sectional study with descriptive, logistic regression and Cox regression analyses of clinical trials registered on ClinicalTrials.gov. Our primary exposure variables were trial focus (obstetrical or nonobstetrical) and trial funding (industry, United States government, or academic). We conducted additional exploratory analyses of other trial features including design, enrollment, and therapeutic focus. We examined the associations of exposure variables and other trial features with 2 primary outcomes: early discontinuation and results reporting. RESULTS: We downloaded data for all studies (N=332,417) registered on ClinicalTrials.gov from October 1, 2007, to March 9, 2020, from the Aggregate Analysis of ClinicalTrials.gov database. We excluded studies with a noninterventional design (n=63,697) and those registered before October 1, 2007 (n=45,209). A total of 4276 obstetrical trials (1.9%) (ie, interventional studies) and 219,235 nonobstetric trials (98.1%) were compared. Among all trials, 2.8% of academic-funded trials, 1.9% of United States government–funded trials, and 0.4% of industry-funded trials focused on obstetrics. The quantity of obstetrical trials increased over time (10.8% annual growth rate). Compared with nonobstetrical trials, obstetrical trials had a greater risk of early discontinuation (adjusted hazard ratio, 1.40; 95% confidence interval, 1.21–1.62; P<.0001) and similar odds of results reporting (adjusted odds ratio, 0.89; 95% confidence interval, 0.72–1.10; P=.19). Among obstetrical trials funders after controlling for confounding variables, United States government–funded trials were at the lowest risk of early discontinuation (United States government, adjusted hazard ratio, 0.23; 95% confidence interval, 0.07–0.69; P=.009; industry reference; academic, adjusted hazard ratio, 1.04; 95% confidence interval, 0.62–1.74; P=.88). Academic-funded trials had the lowest odds of results reporting after controlling for confounding variables (academic institutions, adjusted odds ratio, 0.39; 95% confidence interval, 0.22–0.68; P=.0009; industry reference; United States government, adjusted odds ratio, 1.06; 95% confidence interval, 0.53–2.09; P=.87). CONCLUSION: Obstetrical trials represent only 1.9% of all clinical trials in ClinicalTrials.gov and have comparatively poor completion. All stakeholders should commit to increasing the number of obstetrical trials and improving their completion and dissemination to ensure clinical research reflects the obstetrical burden of disease and advances maternal health. Elsevier Inc. 2021-01 2020-10-06 /pmc/articles/PMC7537600/ /pubmed/33043288 http://dx.doi.org/10.1016/j.ajogmf.2020.100253 Text en © 2020 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Original Research Steinberg, Jecca R. Weeks, Brannon T. Reyes, Griselda A. Conway Fitzgerald, Alison Zhang, Wendy Y. Lindsay, Sarah E. Anderson, Jill N. Chan, Katelyn Richardson, Michael T. Magnani, Christopher J. Igbinosa, Irogue Girsen, Anna El-Sayed, Yasser Y. Turner, Brandon E. Lyell, Deirdre J. The obstetrical research landscape: a cross-sectional analysis of clinical trials from 2007-2020 |
title | The obstetrical research landscape: a cross-sectional analysis of clinical trials from 2007-2020 |
title_full | The obstetrical research landscape: a cross-sectional analysis of clinical trials from 2007-2020 |
title_fullStr | The obstetrical research landscape: a cross-sectional analysis of clinical trials from 2007-2020 |
title_full_unstemmed | The obstetrical research landscape: a cross-sectional analysis of clinical trials from 2007-2020 |
title_short | The obstetrical research landscape: a cross-sectional analysis of clinical trials from 2007-2020 |
title_sort | obstetrical research landscape: a cross-sectional analysis of clinical trials from 2007-2020 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537600/ https://www.ncbi.nlm.nih.gov/pubmed/33043288 http://dx.doi.org/10.1016/j.ajogmf.2020.100253 |
work_keys_str_mv | AT steinbergjeccar theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT weeksbrannont theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT reyesgriseldaa theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT conwayfitzgeraldalison theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT zhangwendyy theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT lindsaysarahe theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT andersonjilln theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT chankatelyn theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT richardsonmichaelt theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT magnanichristopherj theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT igbinosairogue theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT girsenanna theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT elsayedyassery theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT turnerbrandone theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT lyelldeirdrej theobstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT steinbergjeccar obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT weeksbrannont obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT reyesgriseldaa obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT conwayfitzgeraldalison obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT zhangwendyy obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT lindsaysarahe obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT andersonjilln obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT chankatelyn obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT richardsonmichaelt obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT magnanichristopherj obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT igbinosairogue obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT girsenanna obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT elsayedyassery obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT turnerbrandone obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 AT lyelldeirdrej obstetricalresearchlandscapeacrosssectionalanalysisofclinicaltrialsfrom20072020 |