How to conduct and report checking transitivity and inconsistency in network-meta-analysis: a narrative review including practical worked examples, code and source data for sports and exercise medicine researchers
The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a single randomised controlled trial. NMA can then inform clinicians on potentially better interventions. D...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2024-12-01
|
| Series: | BMJ Open Sport & Exercise Medicine |
| Online Access: | https://bmjopensem.bmj.com/content/10/4/e002262.full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832594036698906624 |
|---|---|
| author | Patrick J Owen Daniel L Belavy Adriani Nikolakopoulou Tobias Saueressig Svenja Kaczorowski |
| author_facet | Patrick J Owen Daniel L Belavy Adriani Nikolakopoulou Tobias Saueressig Svenja Kaczorowski |
| author_sort | Patrick J Owen |
| collection | DOAJ |
| description | The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a single randomised controlled trial. NMA can then inform clinicians on potentially better interventions. Despite the increased use of NMA, we have observed that in the SEM field, a key challenge for author groups can be the assessment and reporting of key assumptions, in particular transitivity and consistency. This paper provides SEM researchers with a practical guide on how to approach the transitivity and consistency assumptions of NMA. Using a previously published NMA in the SEM field, we provide the statistical code, source data and worked examples to facilitate understanding and best practice of NMA in the particular field. We hope these resources result in improved conduct and reporting of NMA that ultimately leads to advances in the SEM field. |
| format | Article |
| id | doaj-art-e1602bc15d8b435cae4ac23a17e8819e |
| institution | Kabale University |
| issn | 2055-7647 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open Sport & Exercise Medicine |
| spelling | doaj-art-e1602bc15d8b435cae4ac23a17e8819e2025-01-20T06:45:09ZengBMJ Publishing GroupBMJ Open Sport & Exercise Medicine2055-76472024-12-0110410.1136/bmjsem-2024-002262How to conduct and report checking transitivity and inconsistency in network-meta-analysis: a narrative review including practical worked examples, code and source data for sports and exercise medicine researchersPatrick J Owen0Daniel L Belavy1Adriani Nikolakopoulou2Tobias Saueressig3Svenja Kaczorowski4Eastern Health, Melbourne, Victoria, AustraliaDepartment für Pflege-, Hebammen- und Therapiewissenschaften, Hochschule für Gesundheit, Bochum, GermanySchool of Medicine, Aristotle University of Thessaloniki, Thessalonike, Kentrikḗ Makedonía, GreecePhysio Meets Science GmbH, Heidelberg, GermanyDepartment für Pflege-, Hebammen- und Therapiewissenschaften, Hochschule für Gesundheit, Bochum, GermanyThe use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a single randomised controlled trial. NMA can then inform clinicians on potentially better interventions. Despite the increased use of NMA, we have observed that in the SEM field, a key challenge for author groups can be the assessment and reporting of key assumptions, in particular transitivity and consistency. This paper provides SEM researchers with a practical guide on how to approach the transitivity and consistency assumptions of NMA. Using a previously published NMA in the SEM field, we provide the statistical code, source data and worked examples to facilitate understanding and best practice of NMA in the particular field. We hope these resources result in improved conduct and reporting of NMA that ultimately leads to advances in the SEM field.https://bmjopensem.bmj.com/content/10/4/e002262.full |
| spellingShingle | Patrick J Owen Daniel L Belavy Adriani Nikolakopoulou Tobias Saueressig Svenja Kaczorowski How to conduct and report checking transitivity and inconsistency in network-meta-analysis: a narrative review including practical worked examples, code and source data for sports and exercise medicine researchers BMJ Open Sport & Exercise Medicine |
| title | How to conduct and report checking transitivity and inconsistency in network-meta-analysis: a narrative review including practical worked examples, code and source data for sports and exercise medicine researchers |
| title_full | How to conduct and report checking transitivity and inconsistency in network-meta-analysis: a narrative review including practical worked examples, code and source data for sports and exercise medicine researchers |
| title_fullStr | How to conduct and report checking transitivity and inconsistency in network-meta-analysis: a narrative review including practical worked examples, code and source data for sports and exercise medicine researchers |
| title_full_unstemmed | How to conduct and report checking transitivity and inconsistency in network-meta-analysis: a narrative review including practical worked examples, code and source data for sports and exercise medicine researchers |
| title_short | How to conduct and report checking transitivity and inconsistency in network-meta-analysis: a narrative review including practical worked examples, code and source data for sports and exercise medicine researchers |
| title_sort | how to conduct and report checking transitivity and inconsistency in network meta analysis a narrative review including practical worked examples code and source data for sports and exercise medicine researchers |
| url | https://bmjopensem.bmj.com/content/10/4/e002262.full |
| work_keys_str_mv | AT patrickjowen howtoconductandreportcheckingtransitivityandinconsistencyinnetworkmetaanalysisanarrativereviewincludingpracticalworkedexamplescodeandsourcedataforsportsandexercisemedicineresearchers AT daniellbelavy howtoconductandreportcheckingtransitivityandinconsistencyinnetworkmetaanalysisanarrativereviewincludingpracticalworkedexamplescodeandsourcedataforsportsandexercisemedicineresearchers AT adrianinikolakopoulou howtoconductandreportcheckingtransitivityandinconsistencyinnetworkmetaanalysisanarrativereviewincludingpracticalworkedexamplescodeandsourcedataforsportsandexercisemedicineresearchers AT tobiassaueressig howtoconductandreportcheckingtransitivityandinconsistencyinnetworkmetaanalysisanarrativereviewincludingpracticalworkedexamplescodeandsourcedataforsportsandexercisemedicineresearchers AT svenjakaczorowski howtoconductandreportcheckingtransitivityandinconsistencyinnetworkmetaanalysisanarrativereviewincludingpracticalworkedexamplescodeandsourcedataforsportsandexercisemedicineresearchers |