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. 2020 Jan 22;368:l6925. doi: 10.1136/bmj.l6925

Table 2.

GRADE summary of findings: industry funding of patient groups

Outcomes Prevalence No of participants (No of studies) Quality of evidence (GRADE)* Comments
Prevalence measures
Industry funding Population sample multiple disease: range 43-83%; population sample specific condition: range 20-75%; consultation: range 34-75% 2150 (15) ⊕⊕⊝⊝ low Downgraded because of inconsistency
Transparency of funding on websites 27% (95% CI 24% to 31%) 642 (4) ⊕⊕⊕⊝ moderate No inconsistency; three of four studies of high quality; studies in four countries
Transparency of funding during consultations 0% (CDC); 91% (FDA) 31 (2) ⊕⊝⊝⊝ very low Downgraded because of imprecision; divergent results mirror policies of agency holding consultation
Organisational policies governing sponsorship Range 2-64% 1294 (10) ⊕⊝⊝⊝ very low Downgraded because of inconsistency; data collection and definitions differ
Organisational positions and industry funding
Positions consistent with sponsors’ interests Industry funded groups generally supported sponsors’ interests more often than non-funded groups 37 (2) ⊕⊝⊝⊝ very low Downgraded because of imprecision; one of two studies of low quality
Comprehensiveness of information on harm (mean No of harms, max=17) Mean 10 items (standard deviation 4.2) for non-industry funded groups; mean 3.7 items (standard deviation 3.7) for industry funded groups; Mann-Whitney test non-significant: P=0.1 16 (1) ⊕⊝⊝⊝ very low Downgraded because of imprecision; single study of low quality

CDC=US Centers for Disease Control and Prevention; FDA=US Food and Drug Administration; GRADE=grading of recommendations assessment, development, and evaluation.

*

High quality: very confident that the true effect lies close to that of the estimate of the effect; moderate quality: moderately confident in the effect estimate, and the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different; low quality: confidence in the effect estimate is limited, and the true effect could be substantially different from the estimate of the effect; very low quality: very little confidence in the effect estimate, and the true effect is likely to be substantially different from the estimate of effect.