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. 2022 Aug 1;5(8):e2225980.
doi: 10.1001/jamanetworkopen.2022.25980.

Measures of Utility Among Studies of Genomic Medicine for Critically Ill Infants: A Systematic Review

Affiliations

Measures of Utility Among Studies of Genomic Medicine for Critically Ill Infants: A Systematic Review

Katharine Press Callahan et al. JAMA Netw Open. .

Abstract

Importance: Genomic medicine holds promise to revolutionize care for critically ill infants by tailoring treatments for patients and providing additional prognostic information to families. However, measuring the utility of genomic medicine is not straightforward and has important clinical and ethical implications.

Objective: To review the ways that researchers measure or neglect to measure the utility of genomic medicine for critically ill infants.

Evidence review: This systematic review included prospective full-text studies of genomic medicine of both whole exome and genome sequencing in critically ill infants younger than 1 year. PubMed, Embase, Scopus, and Cochrane Library databases, the Cochrane Database of Systematic Reviews, and the ClinicalTrials.gov register were searched with an English language restriction for articles published from the inception of each database through May 2022. Search terms included variations of the following: gene, sequencing, intensive care, critical care, and infant. From the included articles, information on how utility was defined and measured was extracted and synthesized. Information was also extracted from patient cases that authors highlighted by providing additional information. Spearman rank-order correlation was used to evaluate the association between study size and utility.

Findings: Synthesized data from the 21 included studies reflected results from 1654 patients. A mean of 46% (range, 15%-72%) of patients had a positive genetic test result, and a mean of 37% (range, 13%-61%) met the criteria for experiencing utility. Despite heterogeneity in how studies measured and reported utility, a standardized framework was created with 5 categories of utility: treatment change, redirection of care, prognostic information, reproductive information, and screening or subspecialty referral. Most studies omitted important categories of utility, notably personal utility (patient-reported benefits) (20 studies [95%]), utility of negative or uncertain results (15 [71%]), and disutility (harms) (20 [95%]). Studies disproportionally highlighted patient cases that resulted in treatment change. Larger studies reported substantially lower utility (r = -0.65; P = .002).

Conclusions and relevance: This systematic review found that genomic medicine offered various categories of utility for a substantial proportion of critically ill infants. Studies measured utility in heterogeneous ways and focused more on documenting change than assessing meaningful benefit. Authors' decisions about which cases to highlight suggest that some categories of utility may be more important than others. A more complete definition of utility that is used consistently may improve understanding of potential benefits and harms of genetic medicine.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Largent reported receiving grants from the National Institute of Aging and the Greenwall Foundation outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Study Screening and Selection Process
Figure 2.
Figure 2.. Comparison of Utility Categories
The vertical bar in each box plot represents the median value for the outcome of interest; box edges, the first and third quartiles; and box width, the IQR. Whiskers extend to the smallest and largest observations within 1.5 times the IQR of the quartiles. Dots beyond the whiskers represent point estimates for studies that were outliers. WES indicates whole exome sequencing; WGS, whole genome sequencing.
Figure 3.
Figure 3.. Comparison of Overall vs Highlighted Utility

Comment in

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