The DOI matches its Crossref record; 22 of the 23 references it cites were found in a registry or an index.
A taxonomy has been developed for outcomes in medical research to help improve knowledge discovery
Open accessAbstract
OBJECTIVES: There is increasing recognition that insufficient attention has been paid to the choice of outcomes measured in clinical trials. The lack of a standardized outcome classification system results in inconsistencies due to ambiguity and variation in how outcomes are described across different studies. Being able to classify by outcome would increase efficiency in searching sources such as clinical trial registries, patient registries, the Cochrane Database of Systematic Reviews, and the Core Outcome Measures in Effectiveness Trials (COMET) database of core outcome sets (COS), thus aiding knowledge discovery. STUDY DESIGN AND SETTING: A literature review was carried out to determine existing outcome classification systems, none of which were sufficiently comprehensive or granular for classification of all potential outcomes from clinical trials. A new taxonomy for outcome classification was developed, and as proof of principle, outcomes extracted from all published COS in the COMET database, selected Cochrane reviews, and clinical trial registry entries were classified using this new system. RESULTS: Application of this new taxonomy to COS in the COMET database revealed that 274/299 (92%) COS include at least one physiological outcome, whereas only 177 (59%) include at least one measure of impact (global quality of life or some measure of functioning) and only 105 (35%) made reference to adverse events. CONCLUSIONS: This outcome taxonomy will be used to annotate outcomes included in COS within the COMET database and is currently being piloted for use in Cochrane Reviews within the Cochrane Linked Data Project. Wider implementation of this standard taxonomy in trial and systematic review databases and registries will further promote efficient searching, reporting, and classification of trial outcomes.
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“The Core Outcome Measures in Effectiveness Trials (COMET) initiative supports standardisation, providing a taxonomy 19 to classify outcomes used in trials.”
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“A strength of this review is the meticulous process of categorising and coding all measures with reference to literature, including the novel application of the COMET taxonomy to Acceptance and Commitment Therapy research. 19”
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Citations
Cites
Wilson, I. B. (1995) · JAMA · doi:10.1001/jama.1995.03520250075037 · Cited by 3,027
The COMET Handbook: version 1.0
Williamson, P. R., Altman, D. G., Bagley, H., Barnes, K. L., Blazeby, J. M., Brookes, S. T., Clarke, M., Gargon, E., Gorst, S., Harman, N., et al. (2017) · Trials · doi:10.1186/s13063-017-1978-4 · Cited by 2,011
Self-citationThe human phenotype ontology: a tool for annotating and analyzing human hereditary disease
Robinson, P. N., Köhler, S., Bauer, S., Seelow, D., Horn, D., & Mundlos, S. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.09.017 · Cited by 1,034
Developing core outcome measurement sets for clinical trials: OMERACT filter 2.0
Boers, M., Kirwan, J. R., Wells, G., Beaton, D., Gossec, L., d'Agostino, M.-A., Conaghan, P. G., Bingham, C. O., Brooks, P., Landewé, R., et al. (2014) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2013.11.013 · Cited by 781
Davey, J., Turner, R. M., Clarke, M. J., & Higgins, J. P. (2011) · BMC Medical Research Methodology · doi:10.1186/1471-2288-11-160 · Cited by 404
Self-citationWhat are the best outcome measurements for atopic eczema? A systematic review
Schmitt, J., Langan, S., & Williams, H. C. (2007) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2007.08.011 · Cited by 388
Choosing Important Health Outcomes for Comparative Effectiveness Research: A Systematic Review
Gargon, E., Gurung, B., Medley, N., Altman, D. G., Blazeby, J. M., Clarke, M. J., & Williamson, P. R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099111 · Cited by 343
Self-citationBoers, M., Tugwell, P., Felson, D. T., Pl, V. R., Kirwan, J., Edmonds, J. P., Js, S., Khaltaev, N., & Kd, M. (1994) · PubMed · Cited by 308
Macefield, R. C., Jacobs, M., Korfage, I. J., Nicklin, J., Whistance, R. N., Brookes, S. T., Sprangers, M. A. G., & Blazeby, J. M. (2014) · Trials · doi:10.1186/1745-6215-15-49 · Cited by 181
Gorst, S. L., Gargon, E., Clarke, M. J., Blazeby, J. M., Altman, D. G., & Williamson, P. R. (2016) · PLoS ONE · doi:10.1371/journal.pone.0146444 · Cited by 154
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Items 501–600 of 630
Thyroid Physiology and Early Pregnancy
van Driel-Delprat, C. R., van Dam, E. W. C. M., & Lambalk, C. B. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009532549.009
Shah, N. M., Apps, C., Amin, R., Kaltsakas, G., Hart, N., Murphy, P. B., & Rose, L. (2025) · ERJ Open Research · doi:10.1183/23120541.01007-2024
“We categorised outcomes using the COMET 38-domain taxonomy [21].”
COSSMaT Study: Protocol for Developing a Core Outcome Set for Severe Malaria Treatment TrialsPreprint
Asamoah, G. D., Love, S., Gibb, D. M., Maitland, K., & George, E. C. (2025) · medRxiv · doi:10.1101/2025.05.05.25326984
“This process will utilise the outcomes framework for medical research recommended by the COMET initiative (30), other studies (10,31) and consultation with clinical experts.”
Medlock, C., Vivat, B., White, N., Rabben, J., & Stone, P. C. (2026) · PLoS ONE · doi:10.1371/journal.pone.0346683
“The outcomes identified from these interviews were then mapped to the modified COMET taxonomy [13], which served as the analytical framework, and compared with outcomes generated by the systematic review to identify any novel outcomes not previously captured in the literature (see S1 File for a…”
InfluentialPatient Research Partners in Core Outcome Set Development: A Systematic ReviewPreprint
Huang, N.-S., Saldanha, I. J., & Ervin, A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5245981
Finch, D. A., Morris, R., Parkin, E., Mitchell, P. J., Martin‐Hirsch, P. L., Renehan, A. G., & Fish, R. (2025) · Research Square · doi:10.21203/rs.3.rs-6949923/v1
Self-citationDahlén, L., Pettersson, K., Berglund, F., Bodlund, O., Dhejne, C., Elfving, M., Frisén, L., Stenlid, M. H., Holmberg, J., Holmberg, M., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-098300 · Cited by 1
“22 In the next step, a plain language description will be provided”
López‐Alcalde, J., Tietjen, A. K., Yan, Y., Canella, C., Barth, J., Steinemann, N., Hägele-Link, S., Bolt, S., Baum, C., Rettenmund, G., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-095764
“38 We generated a shorter list of candidate outcomes to be rated in the survey.”
Taxonomy of chronic illness research recruitment: a restricted scoping review
Austin, R. C., Karlsen, B., Richardson, A. M., Elwyn, G. J., Storm, M., Husebø, A. M. L., & Urstad, K. H. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-13115-8
“Taxonomies are recognised as crucial in informing knowledge through the provision of a structured frameworks and have to standardised and expanded multiple classifications in health research [76, 77].”
Zhang, X., Zhang, L., Wang, J., Lau, C. T., Wang, N., Zhang, X., Wang, P., Li, J., Han, F., & Bian, Z. (2025) · Journal of Chinese Integrative Medicine · doi:10.1016/j.joim.2025.07.010
Mucous Membrane Pemphigoid Outcome Measurement in Clinical Research: A Scoping Review
Tedbirt, B., Korte, E. W. H., Hiel, M. A. J., Meijer, J. M., Bolling, M. C., Spuls, P. I., van der Werf, S., Yale, M., Horváth, B., & Joly, P. (2025) · Clinical Drug Investigation · doi:10.1007/s40261-025-01478-z
“Outcomes are grouped into ‘outcome domains’ based on shared terminology and meaning (e.g., pain), which can further be grouped into broader ‘outcome areas’ (e.g., symptoms) [16, 17].”
Hoffmann, C., Sewart, E., Dodd, S. R., Gorst, S. L., Blazeby, J. M., AVERY, K. N. L., Potter, S., & Macefield, R. C. (2025) · BMC Surgery · doi:10.1186/s12893-025-03209-9
“These are measures relevant to health system efficiency or economic metrics often used for cost-effectiveness analyses in trials [41].”
Self-citationNijjar, S., Timor‐Tritsch, I. E., Agten, A. K., Jin, L., Chong, K. Y., Oza, M., Acklom, R., D'antonio, F., Vuong, L. N., Mol, B. W., et al. (2025) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.70090 · Cited by 1
Kow, C. S., Ramachandram, D. S., Conway, B. R., & Hasan, S. S. (2025) · COVID · doi:10.3390/covid5120199
“The outcomes illustrated above are further classified according to the COMET (Core Outcome Measures in Effectiveness Trials) taxonomy [20] to provide a standardized framework for categorizing and reporting health outcomes (Table 2).”
Katiri, R., Hall, D. A., Killan, C. F., Smith, S., Prayuenyong, P., & Kitterick, P. T. (2021) · Figshare · doi:10.6084/m9.figshare.14253656
Katiri, R., Hall, D. A., Killan, C. F., Smith, S., Prayuenyong, P., & Kitterick, P. T. (2021) · Figshare · doi:10.6084/m9.figshare.14253659
Stangl, S., Popp, M., Reis, S., Sitter, M., Saal-Bauernschubert, L., Schießer, S., Kranke, P., Choorapoikayil, S., Weibel, S., & Meybohm, P. (2024) · Figshare · doi:10.6084/m9.figshare.24934112
Katiri, R., Hall, D. A., Killan, C. F., Smith, S., Prayuenyong, P., & Kitterick, P. T. (2021) · Figshare · doi:10.6084/m9.figshare.14253662
Lee, S. I., Hanley, S., Vowles, Z., Plachcinski, R., Moss, N., Singh, M., Gale, C., Fagbamigbe, A. F., Azcoaga-Lorenzo, A., Subramanian, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611811
Stangl, S., Popp, M., Reis, S., Sitter, M., Saal-Bauernschubert, L., Schießer, S., Kranke, P., Choorapoikayil, S., Weibel, S., & Meybohm, P. (2024) · Figshare · doi:10.6084/m9.figshare.24934522
Stangl, S., Popp, M., Reis, S., Sitter, M., Saal-Bauernschubert, L., Schießer, S., Kranke, P., Choorapoikayil, S., Weibel, S., & Meybohm, P. (2024) · Figshare · doi:10.6084/m9.figshare.26657986
Klerk, D. H., van Varsseveld, O. C., Offringa, M., Modi, N., Lacher, M., Zani, A., Pakarinen, M. P., Koivusalo, A., Jester, I., Spruce, M., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23273362
Archer, J. E., Baird, C. A. E., Gardner, A., Rushton, A. B., & Heneghan, N. R. (2021) · Figshare · doi:10.6084/m9.figshare.16682867
Dulude, C., Sutherland, S., Vanderhout, S., King, W. J., Zuijdwijk, C., Major, N., Audcent, T., Howley, H. E. A., Cloutier, P., Buba, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26610908
Schulz, D., Deichsel, A., Jordan, M. C., Windolf, J., Raschke, M. J., & Neubert, A. (2024) · Figshare · doi:10.6084/m9.figshare.26729965
Knight, T., Kamwa, V., Atkin, C., Green, C., Ragunathan, J., Lasserson, D., & Sapey, E. (2024) · Figshare · doi:10.6084/m9.figshare.26649987
Alkhaffaf, B. H., Blazeby, J. M., Metryka, A., Glenny, A., Adeyeye, A., Costa, P. M., del Val, I. D., Gisbertz, S. S., Guner, A., Law, S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14821069
Self-citationKatiri, R., Hall, D. A., Killan, C. F., Smith, S., Prayuenyong, P., & Kitterick, P. T. (2021) · Figshare · doi:10.6084/m9.figshare.14253665
Alkhaffaf, B. H., Blazeby, J. M., Metryka, A., Glenny, A., Adeyeye, A., Costa, P. M., del Val, I. D., Gisbertz, S. S., Guner, A., Law, S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14821075
Self-citationWason, J., McMenamin, M., & Dodd, S. R. (2020) · Figshare · doi:10.6084/m9.figshare.12367883
Self-citationWillgoss, T., Escontrías, O. A., Scrafton, C., Oehrlein, E., Livingstone, V., Chaplin, F. C., Benivento, M., Chapman, H., & Brooke, N. (2024) · Figshare · doi:10.6084/m9.figshare.26626387
Hörold, M., Heytens, H., Debbeler, C. M., Ehrentreich, S., Rauwolf, T., Schmeißer, A., Gottschalk, M., Bitzer, E. M., Braun-Dullaeus, R. C., & Apfelbacher, C. (2023) · Figshare · doi:10.6084/m9.figshare.22775966
Katiri, R., Hall, D. A., Killan, C. F., Smith, S., Prayuenyong, P., & Kitterick, P. T. (2021) · Figshare · doi:10.6084/m9.figshare.14253677
Knight, T., Kamwa, V., Atkin, C., Green, C., Ragunathan, J., Lasserson, D., & Sapey, E. (2024) · Figshare · doi:10.6084/m9.figshare.26649990
Mackey, D. C., Ekegren, C. L., Baldwin, C. E., Young, P. J., Gray, S. M., Ciok, A., & Wong, A. (2024) · Figshare · doi:10.6084/m9.figshare.26577554
Dulude, C., Sutherland, S., Vanderhout, S., King, W. J., Zuijdwijk, C., Major, N., Audcent, T., Howley, H. E. A., Cloutier, P., Buba, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26610914
Schulz, D., Deichsel, A., Jordan, M. C., Windolf, J., Raschke, M. J., & Neubert, A. (2024) · Figshare · doi:10.6084/m9.figshare.26729971
Willgoss, T., Escontrías, O. A., Scrafton, C., Oehrlein, E., Livingstone, V., Chaplin, F. C., Benivento, M., Chapman, H., & Brooke, N. (2024) · Figshare · doi:10.6084/m9.figshare.26626390
Zhou, W., Zhang, Y., Wang, Z., Zhang, L., & Zhang, X. (2024) · Figshare · doi:10.6084/m9.figshare.25329630
Sabet, T. S., Anderson, D. B., Stubbs, P. W., Buchbinder, R., Terwee, C. B., Chiarotto, A., Gagnier, J., & Verhagen, A. P. (2022) · Figshare · doi:10.6084/m9.figshare.21592549
Alkhaffaf, B. H., Blazeby, J. M., Metryka, A., Glenny, A., Adeyeye, A., Costa, P. M., del Val, I. D., Gisbertz, S. S., Guner, A., Law, S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14821066
Self-citationLee, S. I., Hanley, S., Vowles, Z., Plachcinski, R., Moss, N., Singh, M., Gale, C., Fagbamigbe, A. F., Azcoaga-Lorenzo, A., Subramanian, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611808
Klerk, D. H., van Varsseveld, O. C., Offringa, M., Modi, N., Lacher, M., Zani, A., Pakarinen, M. P., Koivusalo, A., Jester, I., Spruce, M., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23273368
Gabes, M., Knüttel, H., & Apfelbacher, C. (2021) · Figshare · doi:10.6084/m9.figshare.14721879
Rose, L., Burry, L. D., Agar, M., Blackwood, B., Campbell, N. L., Clarke, M. J., Devlin, J. W., Lee, J., Marshall, J. C., Needham, D. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14803916
Self-citationLee, S. I., Hanley, S., Vowles, Z., Plachcinski, R., Moss, N., Singh, M., Gale, C., Fagbamigbe, A. F., Azcoaga-Lorenzo, A., Subramanian, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611802
Stangl, S., Popp, M., Reis, S., Sitter, M., Saal-Bauernschubert, L., Schießer, S., Kranke, P., Choorapoikayil, S., Weibel, S., & Meybohm, P. (2024) · Figshare · doi:10.6084/m9.figshare.26657989
Willgoss, T., Escontrías, O. A., Scrafton, C., Oehrlein, E., Livingstone, V., Chaplin, F. C., Benivento, M., Chapman, H., & Brooke, N. (2024) · Figshare · doi:10.6084/m9.figshare.26626381
Mackey, D. C., Ekegren, C. L., Baldwin, C. E., Young, P. J., Gray, S. M., Ciok, A., & Wong, A. (2024) · Figshare · doi:10.6084/m9.figshare.26577560
Schulz, D., Deichsel, A., Jordan, M. C., Windolf, J., Raschke, M. J., & Neubert, A. (2024) · Figshare · doi:10.6084/m9.figshare.26729968
Willgoss, T., Escontrías, O. A., Scrafton, C., Oehrlein, E., Livingstone, V., Chaplin, F. C., Benivento, M., Chapman, H., & Brooke, N. (2024) · Figshare · doi:10.6084/m9.figshare.26626393
Knight, T., Kamwa, V., Atkin, C., Green, C., Ragunathan, J., Lasserson, D., & Sapey, E. (2024) · Figshare · doi:10.6084/m9.figshare.24751646
Davies, T., van Gassel, R. J. J., van de Poll, M. C. G., Gunst, J., Casaer, M. P., Christopher, K. B., Preiser, J. C., Hill, A., Gündoğan, K., Reintam-Blaser, A., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20445496
Ramsey, I., Eckert, M., Hutchinson, A. D., Marker, J., & Corsini, N. (2020) · Figshare · doi:10.6084/m9.figshare.12960344
Katiri, R., Hall, D. A., Killan, C. F., Smith, S., Prayuenyong, P., & Kitterick, P. T. (2021) · Figshare · doi:10.6084/m9.figshare.14253668
Knight, T., Kamwa, V., Atkin, C., Green, C., Ragunathan, J., Lasserson, D., & Sapey, E. (2023) · Figshare · doi:10.6084/m9.figshare.24751301
Husson, O., Janssen, S. H. M., Reeve, B. B., Sodergren, S. C., Cheung, C. K., McCabe, M. G., Salsman, J. M., van der Graaf, W. T. A., & Darlington, A.-S. (2024) · Figshare · doi:10.6084/m9.figshare.25059513
Hörold, M., Heytens, H., Debbeler, C. M., Ehrentreich, S., Rauwolf, T., Schmeißer, A., Gottschalk, M., Bitzer, E. M., Braun-Dullaeus, R. C., & Apfelbacher, C. (2023) · Figshare · doi:10.6084/m9.figshare.22775972
Katiri, R., Hall, D. A., Killan, C. F., Smith, S., Prayuenyong, P., & Kitterick, P. T. (2021) · Figshare · doi:10.6084/m9.figshare.14253671
Archer, J. E., Baird, C. A. E., Gardner, A., Rushton, A. B., & Heneghan, N. R. (2021) · Figshare · doi:10.6084/m9.figshare.16682864
Zarama, V., Arango-Granados, M. C., Manzano-Núñez, R., Sheppard, J. P., Roberts, N., & Plüddemann, A. (2024) · Figshare · doi:10.6084/m9.figshare.25389478
Vanhala, A., Lehto, A.-R., Maksimow, A. T., Torkki, P., & Kivivuori, S.-M. (2022) · Figshare · doi:10.6084/m9.figshare.20115588
Lee, S. I., Hanley, S., Vowles, Z., Plachcinski, R., Moss, N., Singh, M., Gale, C., Fagbamigbe, A. F., Azcoaga-Lorenzo, A., Subramanian, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611805
Hörold, M., Heytens, H., Debbeler, C. M., Ehrentreich, S., Rauwolf, T., Schmeißer, A., Gottschalk, M., Bitzer, E. M., Braun-Dullaeus, R. C., & Apfelbacher, C. (2023) · Figshare · doi:10.6084/m9.figshare.22775963
Hörold, M., Heytens, H., Debbeler, C. M., Ehrentreich, S., Rauwolf, T., Schmeißer, A., Gottschalk, M., Bitzer, E. M., Braun-Dullaeus, R. C., & Apfelbacher, C. (2023) · Figshare · doi:10.6084/m9.figshare.22775969
Katiri, R., Hall, D. A., Killan, C. F., Smith, S., Prayuenyong, P., & Kitterick, P. T. (2021) · Figshare · doi:10.6084/m9.figshare.14253680
Willgoss, T., Escontrías, O. A., Scrafton, C., Oehrlein, E., Livingstone, V., Chaplin, F. C., Benivento, M., Chapman, H., & Brooke, N. (2024) · Figshare · doi:10.6084/m9.figshare.26626384
Ramsey, I., Eckert, M., Hutchinson, A. D., Marker, J., & Corsini, N. (2020) · Figshare · doi:10.6084/m9.figshare.12960341
Mackey, D. C., Ekegren, C. L., Baldwin, C. E., Young, P. J., Gray, S. M., Ciok, A., & Wong, A. (2024) · Figshare · doi:10.6084/m9.figshare.26577563
Lee, S. I., Hanley, S., Vowles, Z., Plachcinski, R., Moss, N., Singh, M., Gale, C., Fagbamigbe, A. F., Azcoaga-Lorenzo, A., Subramanian, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611796
Lee, S. I., Hanley, S., Vowles, Z., Plachcinski, R., Moss, N., Singh, M., Gale, C., Fagbamigbe, A. F., Azcoaga-Lorenzo, A., Subramanian, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611799
Mackey, D. C., Ekegren, C. L., Baldwin, C. E., Young, P. J., Gray, S. M., Ciok, A., & Wong, A. (2024) · Figshare · doi:10.6084/m9.figshare.26577557
Dulude, C., Sutherland, S., Vanderhout, S., King, W. J., Zuijdwijk, C., Major, N., Audcent, T., Howley, H. E. A., Cloutier, P., Buba, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26610911
Veen, K., Joseph, A., Sossi, F., Jaber, P. B., Lansac, E., Das-Gupta, E., Aktaa, S., & Takkenberg, J. (2023) · Figshare · doi:10.6084/m9.figshare.24540643
Alkhaffaf, B. H., Blazeby, J. M., Metryka, A., Glenny, A., Adeyeye, A., Costa, P. M., del Val, I. D., Gisbertz, S. S., Guner, A., Law, S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14821072
Self-citationLee, S. I., Hanley, S., Vowles, Z., Plachcinski, R., Moss, N., Singh, M., Gale, C., Fagbamigbe, A. F., Azcoaga-Lorenzo, A., Subramanian, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611814
Massierer, F. D., Botton, C. E., Carvalho, J. P. D. S., Cassão, G., Nardi, A. T. D., Feter, J. S., Ignacio, A. C., Leal-Menezes, R., Oliveira, N. L., Pfeifer, L. O., et al. (2026) · Obesity Reviews · doi:10.1111/obr.70085 · Cited by 1
“The domains were predefined according to a taxonomy developed for outcomes in medical research [19].”
InfluentialBuitrago-Garcia, D., Mehouachi, S., Agoritsas, T., Iudici, M., & Mongin, D. (2026) · Seminars in Arthritis and Rheumatism · doi:10.1016/j.semarthrit.2026.152926
Dou, H., Li, Y., Li, Y. X., Yang, Y., Zhang, Y., Wu, J., Liu, D., Mao, Y., Shi, J., Tang, J., et al. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-108171
Malandrini, F. B., Spataro, C., Meregaglia, M., Sansone, V., D’Amico, A., Scopinaro, A., & Ciani, O. (2026) · Neurological Sciences · doi:10.1007/s10072-025-08600-1
“Finally, questionnaire items were extracted and assigned with a specific domain according to a predefined 38-item taxonomy [21 ] developed for the classification of outcomes included in clinical trials, Core Outcome Sets (COS), systematic reviews, and trial registries to identify the most targeted…”
Shi, J., Chen, H., Su, C., Gao, Y., Sun, C., Tian, J., & Li, Z. (2026) · Geriatric Nursing · doi:10.1016/j.gerinurse.2026.103955
Archer, J. E., Baird, C., Gardner, A. C., Rushton, A. B., & Heneghan, N. R. (2021) · Figshare · doi:10.6084/m9.figshare.16682861
Allen, L. C., Ahktor, S., Constable, J., Gorst, S. L., Leeson-Beevers, K., Mehta, J., Pilling, R. F., Reyman, F., Rigby, H., Rowe, F. J., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-8978226/v1
Altenburg, T. M., de Vries, L. W., Grooten, I. J., Hooft, J. V. ’., van Deutekom, A. W., Roseboom, T. J., van den Akker, E. L., Duncan, M., Ekelund, U., Reilly, J. J., et al. (2026) · Obesity Reviews · doi:10.1111/obr.70125
“After that, we grouped the unique outcomes by outcome domain, where applicable, coherent with the taxonomy proposed by Dodd et al. [25].”
Hornick, M. M., Olsen, T. C., McCutchen, A. I., Deguchi, A. N., Foster, E. R., Voytik, M., McShea, K., Broach, R. B., & Percec, I. (2026) · Aesthetic Surgery Journal · doi:10.1093/asj/sjag005
Outcomes of older adult physical activity participation that matter to health care professionals
Mackey, D. C., & Mackey, D. C. (2026) · Innovation in Aging · doi:10.1093/geroni/igag020
“The 24 prepopulated outcome domains were derived from the standard outcome classification taxonomy endorsed by the COMET initiative (Dodd et al., 2018), our previous rapid review of RCTs of physical activity for older adults (Mackey et al., 2023), our previous interview study on outcome domains…”
Tay, J., Blazeby, J. M., Devane, D., Loke, Y. K., Lowery, A., O’Neill, A., Robinson, C., Steele, C., Alkhaffaf, B. H., & Kirkham, J. J. (2026) · BJS Open · doi:10.1093/bjsopen/zrag019
“To assist with outcome presentation and ordering, the final list of outcomes was categorized according to a 38-item taxonomy 21 with core areas of survival, outcomes relating to cancer (adapted to ‘controlling cancer’ later in this project), physiological or clinical, life impact (following…”
Prioritized health outcomes for adolescents and young adults with acute lymphoblastic leukemia
Saldanha, I. J., Sereda, Y., Kanaan, G., Mai, H. J., Melson, J. W., Terasawa, T., Gupta, S., O’Dwyer, K. M., Wolfson, J. A., Stock, W., et al. (2026) · Blood Neoplasia · doi:10.1016/j.bneo.2026.100222
Asamoah, G. D., Love, S., Gibb, D. M., Maitland, K., & George, E. C. (2026) · JMIR Research Protocols · doi:10.2196/78616 · Cited by 1
“Outcomes that are similar or closely related will be consolidated, and the refined list will be organized into broader outcome domains using the COMET-recommended outcome taxonomy for medical research [51], supported by frameworks applied in previous COS studies [10,52].”
Xu, Y., Jiang, J., Zhu, H., Sun, Y., & Jin, X. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-104083
Stallwood, E., Tasnia, A., Giansante, D., Inness, B. E., Frey, B. N., McCabe, R. E., & Green, S. M. (2026) · British Journal of Clinical Psychology · doi:10.1111/bjc.70058
“…the development of a patient-oriented COS. Thematic analyses of six focus groups revealed four overarching domains that were mapped onto the theoretical framework from Dodd et al. (2018): (1) psychological/emotional functioning, (2) social functioning, (3) life impact and (4) physical functioning.”
InfluentialRejuso, A., Asif, H., Howell, M., Guha, C., Kim, S. S., Jauré, A., Hughes, A., Nicholl, K., Mallit, K.-A., Bouroumad, F., et al. (2026) · Pediatric Nephrology · doi:10.1007/s00467-026-07266-x
“…(including appetite), transition/coping, and others (such as fatigue, schooling, food insecurity, health behaviors/preventative health, access to treatment, experience of medical treatments in research, screen time, activities of daily living, attitude towards illness, and oral health) [29].”
King, A., D'Souza, R. D., Herman, D., Shehata, N., & Malinowski, A. K. (2026) · Research and Practice in Thrombosis and Haemostasis · doi:10.1016/j.rpth.2026.106621
“Maternal and fetal outcomes were then separated and categorized into 5 core areas, based on a published taxonomy for outcomes in medical research [26], as follows: mortality/survival, physiological/clinical, life impact/functioning, resource use, and adverse effects.”
Almasoudi, R. M., Alharbi, A., Gardiner, C., & Mayland, C. R. (2026) · BMJ Supportive & Palliative Care · doi:10.1136/spcare-2026-006138
“34 The immersive nature of VR likely contributed to skill acquisition gains by providing realistic and interactive learning environments; 35 however, without standardised outcome measures, the extent to which immersion level specifically drives these gains remains unclear.”
Chiu, T., Liu, J., Wong, E. C. M., Ng, J. C. Y., Chiarotto, A., de Luca, K. E., Xu, R., de Jesus-Moraleida, F., Ferreira, M. L., & Wong, A. Y. L. (2026) · Age and Ageing · doi:10.1093/ageing/afag116
“We applied Dodd’s 38-item classification system for data analysis [21].”
InfluentialComplementary therapies for multiple sclerosis: Scoping review with evidence gap map
López‐Alcalde, J., Yan, Y., Canella, C., Barth, J., Steinemann, N., von Wyl, V., Baum, C., Bolt, S., Haegele-Link, S., Rettenmund, G., et al. (2026) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2026.107243
“Outcomes were categorized using the COMET taxonomy (Dodd et al., 2018), refined into a candidate list, and finalized through a survey and consensus process, generating a 30-outcome COS (submitted for publication elsewhere).”
InfluentialSmith, C., Bernhardt, L., Birt, L., Hansjee, D., MacDiarmid, L., Manning, J. C., Parmar, P., Smithard, D., & Wright, D. J. (2026) · Health Services and Outcomes Research Methodology · doi:10.1007/s10742-026-00389-6
Navarro, C. E., Rodas, M. I. Z., Gorst, S. L., Delgado, C. E. Y., Chvatal‐Medina, M., Bautista, H., & Flórez, I. D. (2026) · JBI Evidence Synthesis · doi:10.11124/jbies-25-00456
Purcell, S., Robinson, K., O’Connor, M., Salsberg, J., Morrissey, A., & Hayes, S. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-108366
“Where appropriate, BFFS 52 will be used to map themes to the COMET taxonomy, 45 enabling integration with findings from earlier stages.”
Duranté, E. K., Veal, C., Thibout, B., Maçon-Dauxerre, V., Ravaud, P., & Chevance, A. (2026) · BMJ Mental Health · doi:10.1136/bmjment-2026-302575
“4 28–30 Regarding the intervention, we followed the typology developed by the metapsy research group, while inductively coding for types that corresponded to ‘Other’ type in metapsy ’s typology.”
Metadata
- Authors
- Dodd, S., Clarke, M., Becker, L., Mavergames, C., Fish, R., & Williamson, P. R.
- Affiliations
- University of Liverpool (GB)
- Queen's University Belfast (GB)
- SUNY Upstate Medical University (US)
- Cochrane (GB)
- University of Manchester (GB)
- Corresponding author
- Williamson, Paula R.
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 96
- Pages
- 84-92
- ISSN
- 0895-4356 (ISSN-L)
- PMC
- PMC5854263
- OpenAlex
- W2778471389
- Cited by
- 625
- References
- 23
- Citations by year
- 2026: 63 · 2025: 97 · 2024: 124 · 2023: 74 · 2022: 84 · 2021: 82 · 2020: 51 · 2019: 34 · 2018: 14
- FWCI
- 69.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Clinical Epidemiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion, cc-by)
- Research Portal (Queen's University Belfast) (publishedVersion, cc-by)
- Funders
- National Institute for Health and Care Research (NF-SI-0513-10025)
- Medical Research Council (MR/K025635/1)
- Topics
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- clinical trial results, core outcome set, outcome standardization, knowledge discovery, clinical trial registries, adverse events, quality of life outcomes
- MeSH terms
- Clinical Trials as Topic, Humans, Health Knowledge, Attitudes, Practice, Quality of Life, Registries, Research Design, Databases, Factual, Outcome Assessment, Health Care, Data Curation
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