{
"id": "https://doi.org/10.6084/m9.figshare.21310968.v1",
"doi": "10.6084/M9.FIGSHARE.21310968.V1",
"url": "https://springernature.figshare.com/articles/journal_contribution/Additional_file_2_of_Empirical_evidence_of_study_design_biases_in_nutrition_randomised_controlled_trials_a_meta-epidemiological_study/21310968/1",
"types": {
"ris": "RPRT",
"bibtex": "article",
"citeproc": "article-journal",
"schemaOrg": "ScholarlyArticle",
"resourceType": "Journal contribution",
"resourceTypeGeneral": "Text"
},
"creators": [
{
"name": "Stadelmaier, Julia",
"givenName": "Julia",
"familyName": "Stadelmaier",
"affiliation": [
{
"name": "University of Freiburg",
"affiliationIdentifier": "https://ror.org/0245cg223",
"affiliationIdentifierScheme": "ROR"
}
],
"nameIdentifiers": [
{
"schemeUri": "https://orcid.org",
"nameIdentifier": "https://orcid.org/0000-0002-8229-6305",
"nameIdentifierScheme": "ORCID"
}
]
},
{
"name": "Roux, Isabelle",
"givenName": "Isabelle",
"familyName": "Roux",
"affiliation": [
{
"name": "University of Freiburg",
"affiliationIdentifier": "https://ror.org/0245cg223",
"affiliationIdentifierScheme": "ROR"
}
]
},
{
"name": "Petropoulou, Maria",
"givenName": "Maria",
"familyName": "Petropoulou",
"affiliation": [
{
"name": "University of Freiburg",
"affiliationIdentifier": "https://ror.org/0245cg223",
"affiliationIdentifierScheme": "ROR"
}
]
},
{
"name": "Schwingshackl, Lukas",
"givenName": "Lukas",
"familyName": "Schwingshackl",
"affiliation": [
{
"name": "University of Freiburg",
"affiliationIdentifier": "https://ror.org/0245cg223",
"affiliationIdentifierScheme": "ROR"
},
{
"name": "University Medical Center Freiburg",
"affiliationIdentifier": "https://ror.org/03vzbgh69",
"affiliationIdentifierScheme": "ROR"
}
]
}
],
"titles": [
{
"title": "Additional file 2 of Empirical evidence of study design biases in nutrition randomised controlled trials: a meta-epidemiological study"
}
],
"publisher": "figshare",
"container": {},
"subjects": [
{
"subject": "Medicine"
},
{
"subject": "Neuroscience"
},
{
"subject": "Biotechnology"
},
{
"subject": "Cancer"
},
{
"subject": "Science Policy"
}
],
"contributors": [],
"dates": [
{
"date": "2022-10-11",
"dateType": "Created"
},
{
"date": "2022-10-11",
"dateType": "Updated"
},
{
"date": "2022",
"dateType": "Issued"
}
],
"publicationYear": 2022,
"identifiers": [],
"sizes": [
"4886868 Bytes"
],
"formats": [],
"rightsList": [
{
"rights": "Creative Commons Attribution 4.0 International",
"rightsUri": "https://creativecommons.org/licenses/by/4.0/legalcode",
"schemeUri": "https://spdx.org/licenses/",
"rightsIdentifier": "cc-by-4.0",
"rightsIdentifierScheme": "SPDX"
}
],
"descriptions": [
{
"description": "Additional file 2: Fig. S1. Example of calculating effect estimates. Fig. S2. Forest plot, random sequence (binary outcomes), main analysis. Fig. S3. Forest plot, random sequence (binary outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S4. Forest plot, random sequence (binary outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S5. Forest plot, random sequence (binary outcomes), subgroup analysis: clusters of interventions. Fig. S6. Forest plot, random sequence (binary outcomes), subgroup analysis: clusters of outcomes. Fig. S7. Forest plot, random sequence (binary outcomes), subgroup analysis: subjective versus objective outcomes. Fig. S8. Forest plot, random sequence (continuous outcomes), main analysis. Fig. S9. Forest plot, random sequence (continuous outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S10. Forest plot, random sequence (continuous outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S11. Forest plot, allocation concealment (binary outcomes), main analysis. Fig. S12. Forest plot, allocation concealment (binary outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S13. Forest plot, allocation concealment (binary outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S14. Forest plot, allocation concealment (binary outcomes), subgroup analysis: clusters of interventions. Fig. S15. Forest plot, allocation concealment (binary outcomes), subgroup analysis: Clusters of outcomes. Fig. S16. Forest plot, allocation concealment (binary outcomes), subgroup analysis: subjective versus objective outcomes. Fig. S17. Forest plot, allocation concealment (continuous outcomes), main analysis. Fig. S18. Forest plot, allocation concealment (continuous outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S19. Forest plot, allocation concealment (continuous outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S20. Forest plot, blinding of participants/personnel (binary outcomes), main analysis. Fig. S21. Forest plot, blinding of participants/personnel (binary outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S22. Forest plot, blinding of participants/personnel (binary outcomes), sensitivity analysis: including only one outcome per comparison. Fig S23. Forest plot, blinding of participants/personnel (binary outcomes), subgroup analysis: clusters of interventions. Fig. S24. Forest plot, blinding of participants/personnel (binary outcomes), subgroup analysis: subjective versus objective outcomes. Fig. S25. Forest plot, blinding of participants/personnel (binary outcomes), subgroup analysis: clusters of outcomes. Fig. S26. Forest plot, blinding of participants/personnel (continuous outcomes), main analysis. Fig. S27. Forest plot, blinding of participants/personnel (continuous outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S28. Forest plot, blinding of participants/personnel (continuous outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S29. Forest plot, blinding of outcome assessment (binary outcomes), main analysis. Fig. S30. Forest plot, blinding of outcome assessment (binary outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S31. Forest plot, blinding of outcome assessment (binary outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S32. Forest plot, blinding of outcome assessment (binary outcomes), subgroup analysis: clusters of interventions. Fig. S33. Forest plot, blinding of outcome assessment (binary outcomes), subgroup analysis: clusters of outcomes. Fig. S34. Forest plot, blinding of outcome assessment (binary outcomes), subgroup analysis: subjective versus objective outcomes. Fig. S35. Forest plot, blinding of outcome assessment (continuous outcomes), main analysis. Fig. S36. Forest plot, blinding of outcome assessment (continuous outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S37. Forest plot, blinding of outcome assessment (continuous outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S38. Forest plot, incomplete outcome data (binary outcomes), main analysis. Fig. S39. Forest plot, incomplete outcome data (binary outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S40. Forest plot, incomplete outcome data (binary outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S41. Forest plot, incomplete outcome data (binary outcomes), subgroup analysis: clusters of interventions. Fig. S42. Forest plot, incomplete outcome data (binary outcomes), subgroup analysis: clusters of outcomes. Fig. S43. Forest plot, incomplete outcome data (binary outcomes), subgroup analysis: subjective versus objective outcomes. Fig. S44. Forest plot, incomplete outcome data (continuous outcomes), main analysis. Fig. S45. Forest plot, incomplete outcome data (continuous outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S46. Forest plot, incomplete outcome data (continuous outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S47. Forest plot, selective reporting (binary outcomes), main analysis. Fig. S48. Forest plot, selective reporting (binary outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S49. Forest plot, selective reporting (binary outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S50. Forest plot, selective reporting (binary outcomes), subgroup analysis: clusters of interventions. Fig. S51. Forest plot, selective reporting (binary outcomes), subgroup analysis: clusters of outcomes. Fig. S52. Forest plot, selective reporting (binary outcomes), subgroup analysis: subjective versus objective outcomes. Fig. S53. Forest plot, selective reporting (continuous outcomes), main analysis. Fig. S54. Forest plot, selective reporting (continuous outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S55. Forest plot, selective reporting (continuous outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S56. Forest plot, dietary compliance (binary outcomes), main analysis. Fig. S57. Forest plot, dietary compliance (binary outcomes), sensitivity analysis: excluding highly correlated outcomes. Fig. S58. Forest plot, dietary compliance (binary outcomes), sensitivity analysis: including only one outcome per comparison. Fig. S59. Forest plot, dietary compliance (binary outcomes), subgroup analysis: clusters of interventions. Fig. S60. Forest plot, dietary compliance (binary outcomes), subgroup analysis: clusters of outcomes. Fig. S61. Forest plot, dietary compliance (binary outcomes), subgroup analysis: subjective versus objective outcomes.",
"descriptionType": "Abstract"
}
],
"geoLocations": [],
"fundingReferences": [],
"relatedIdentifiers": [
{
"relationType": "IsSupplementTo",
"relatedIdentifier": "10.1186/s12916-022-02540-9",
"relatedIdentifierType": "DOI"
},
{
"relationType": "IsIdenticalTo",
"relatedIdentifier": "10.6084/m9.figshare.21310968",
"relatedIdentifierType": "DOI"
}
],
"relatedItems": [],
"schemaVersion": "http://datacite.org/schema/kernel-4",
"providerId": "otjm",
"clientId": "figshare.ars",
"agency": "datacite",
"state": "findable"
}