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Opinion
VIEWPOINT
Mkhaell J. Joyner, MD
Laboratory of Human
Integrative Physiology
and Department of
Anesthesiology. Mayo
Clinic, Rochester,
Minnesota.
Nigel Paneth. MD.
MPH
Departments of
Epidemiology and
Biostatistics and
Pediatrics and Human
Development. College
of Human Medicine.
Michigan State
UnNersay.
East Lansing.
JohnP.A.loannklis.
MD. D5c
Stanford Prevention
Research Center.
Department of
Medone arelMeta.
Research Innovation
Center at Stanford.
Stanford Universny.
Stanford. California.
Corresponding
Author: John P. A.
loannidis. MD. DSc.
Stanford Prevention
Research Center.
Department of
Me6cine and
Meta-Research
Innovation Center at
Stanford. Stanford
OnNersay.1265 Welch
Rd. Medical School
Office 13Iclg. Room
X306, Stanford. CA
94305 (power!
@stanford edu).
What Happens When Underperforming Big Ideas
in Research Become Entrenched?
For several decades now the biomedical researchcom-
munity has pursued a narrative positing that a combi-
nation of ever-deeper knowledge of subcellular biol-
ogy. especially genetics. coupled with information
technology will lead to transformative improvements in
healthcareand hu man health. In this Viewpoint. we pro-
vide evidence for the extraordinary dominance of this
narrative in biomedical funding and journal publica-
tions; discuss several prominent themes embedded in
the narrative to show that this approach has largely
failed: and propose a wholesale reevaluation of the way
forward in biomedical research.
Primacy of the Narrative
In 2016 approxi mately $15 billion of the $26 billion of ex-
tramural research funding sponsored by the National In-
stitutes of Health (NIH) could be linked to some version
of search terms that include gene, genome, stem cells,
or regenerative medicine.' These topics have also in-
creasedgeometrically intheir representationarnang pub-
khed articles. Between 1974 and 2014 the annual num-
berof published articles indexed inPubMed increased by
410%(from 234 613to1 196 110). butthoseidentifiedwith
genome increased by 2127% (2705 to 60246). Be-
tween 1994 and 2014. the annual number of articles in-
dexed in PubMed increased by 175% (from 435 376 to
1 196 110), but articles identified with gene therapy or stem
cell increased by 874% (2635 to 25 662)and752%(3452
to29 196).Apparentty alarge number of scientists either
believe in the potential of these topics or feel compelled
to work on them, recognizing that these topics consti-
tute a major locus of important science. financial sup-
port, recognition, and prospects for a successful career.
Exploring Some Key Examples
In 1999. Collins' envisioned a genetic revolution in medi-
cine facilitated by the Human Genome Project and de-
scribed 6 major themes: (I) commondiseases will beex-
plained largely by a few DNA variants with strong
associations to disease. (2) this knowledge will lead to
improved diagnosis, (3) such knowledge will also drive
preventive medicine, (4) pharrnacogenomics will im-
provetherapeutic decision making; (5)genetherapy will
treat multiple diseases; and (6) a substantial increase in
novel targets for drug development and therapy will en-
sue. These 6 ideas have more recently been branded as
personalized or precision medicine.; Similarly, there is
the increasing interest in and expectation that stemcell
therapy—a sevenththeme—can treatcommondiseases.3
To avoid the misconception that big ideas are all
related to biological sciences, an eighth theme is the
emphasis in the narrative on the clinical and research
value of converting medical records to electronic for-
mats. As of April 20I6, the Centers for Medicare & Med-
icaid Services had paid $34 billion in financial incentives
to service providers for implementing electronic health
record (EHR) systems.' EHRs are an important aspect
of this narrative because they are thought to provide
the structural underpinnings of precision medicine. It
has been suggested by some that some combination of
these 8 big ideas will yield substantial cost savings for
health care.
Expectations that a few DNA variantsexplain most
common diseases have faded as the genetic architec-
ture of most diseases has proved to be formidably corn-
plex. Apparently. hundredsor even tensof thousandsof
genetic variants are involved in each common disease.
The functionof thesevariants isdifficult todecipher. Very
few genes havefound undisputed rolesin preventiveef-
forts or pharrnacogenetic testing.
Continued enthusiasm for gene therapy ignores
what is known from classic single-gene disorders such
as sickle cell anemia. The complex biological processes
set in motion by a single amino acid substitution that
leads to painful crises, stroke, and other complications
are not predictable from the genomic defect. but only
by appreciating thecomplexity of biological systems at
the level of tissues and organs. Sixty years after the dis-
covery of the genetic defect, no targeted therapy has
emerged for sickle cell anemia.
The complex and adaptive nature of most tumors
thwarts the optimistic projections for molecularly tar-
geted therapy for cancer. A randomized trial of
targeted therapy based on molecular profiling for ad-
vanced cancers from diverse anatomical locations
showed no improvement in progression-free sur-
vival.5 The NCI-Molecular Analysis for Therapy Choice
(NCI-MATCH) trial links patients withcancertodrugstar-
geted against their cancer DNA mutations. So far, just
2.5% of screened patients have been assigned to a trial
intervention group. Even though this fraction should
increase as the number of trial treatment groups is in-
creased, even if effectiveness is demonstrated, the rar-
ity of the targeted mutations means that this approach
will help only a minority of patients with cancer"
The prospects of effective treatment based on stem
cells have been challenged in comprehensive reviews of
the available trials. For instance, in congestive heart fail-
ure. improvements in cardiac function have been ob-
served only in industry-sponsored studies, and a posi-
tive relationship has been noted between effect sizeand
the number of experimentaldesign flaws.' To itscredit,
the International Society for Stem Cell Research has is-
sued "anti-hype" guidelines that Itilighlight the respon-
sibility of all groups communicating stem cell science
and medicine—scientists. clinicians, industry. science
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EFTA00603134
Opinion Viewpoint
communicators, and media—to present accurate, balanced reports
of progress and setbacks "8
The financial and clinical benefits predicted from shifting to
EHRs have also largely failed to materialize because of difficulties in
interoperability. poor quality, and accuracy of the collected infor-
mation; cost overruns associated with installation and operation of
EHRs at many institutions; and ongoing privacy and security con-
cerns that further increase operational costs. These features make
the use of EHRs for research into the origins of disease, as pro-
posed in the Precision Medicine Initiative, highly problematic. No
clearly specified targets for either improved outcomes or reduced
costs have been developed to assess the performance efficiency of
EHRs. Although it is difficult to argue for a return to paper records,
any claim of future transformation of the medical record should
include well-defined accountability and review mechanisms. Oth-
erwise, the health care system may become hostage, wasting
increasing resources to continuously upgrade electronic technol-
ogy without really helping patients.
None of these popular topics has had any measurable effect on
population mortality, morbidity. or life expectancy in the United
States. The improvements of the past decades in these outcomes,
which have been substantial but are now stalling. have largely
reflected improvement in nonmedical aspects of everyday life and
the operation of broad-based public health and classic prevention
efforts. such as curtailing smoking, that are undervalued as out-
moded and old-fashioned by the narrative. The anticipation that
improvements in medical care and outcomes derived from big
ideas will reduce costs also seems unlikely given the high costs of
applying targeted therapeutic interventions to small numbers of
people based on complex and expensive technologies, as well as
the inevitable overdiagnosis and overtreatment that follows from
more intensive monitoring. Similarly, EHRs may increase health
care costs due to their ability to enhance revenue capture and as a
result of unanticipated security and upgrade expenses. What his-
torical precedent is there that adoption of vast new oversophisti-
cated technology reduces costs? Eventually. what is the definition
of success and over what time frame?
A Need for Reevaluation
When claims about high- profile, dominant "big ideas" are viewed
against their mediocre benefits, it seems that 2 basic courses of ac-
tion are available. The first is to continue with calls for more fund-
ARTICLE INFORMATION
Published Online: July 28. 2016.
dc.:10.1001flama.2016.11076.
Conflict of Interest Disdosura: Al authors have
completed and submitted the ICMJE Form for
Disclosure of Potential Conflicts of Interest.
Dr loannidis reports support from an unrestricted
gift from Sue and Bob 011onnel. No other
disclosure were reported.
REFERENCES
1. National Instimes of Health. Estimates of
funding for various research. condition, and disease
categories. https,fireport nth.govkategoncal
,spending.aspx.Accessei July 21. 2016.
ing, more complex measurements, and more sophisticated instru-
mentation. The second is to reevaluate and reset the current focus.
Public funders such as NIH should expand the funding for ba-
sic, "blue sky" science for which it is impossible to set. predict, and
promise specific deliverables. In so doing, NIH should fund many
more high-risk. unconventional ideas insteadof supporting the same
familiar highly funded research fronts. However, novel funding
mechanisms like NIH Pioneer Awards are currently only a tiny frac-
tion of the total budget.
When NIH funds translational or preclinical research with spe-
cific deliverables promised (as in the case of personalized medicine.
and stem cell therapy), independent assessors should regularly ap-
praise whether these deliverables were achieved and, if so. at what
cost, and with what effect. Assessors must be objective. indepen-
dent of thefunding source. and havenoprofessional stake in whether
a particular line of research is deemphasized. The deliverable crite-
rion should include public health benefit achieved by these initia-
tives (ie, measurable reductions in mortality and morbidity). Criteria
such as number of publications. citations, prizes, and recognition are
irrelevant as these are simply self-rewarding artifacts of the system.
After several decades of substantial investment, the fundamental
question is whether these big ideas have improved quality of life and
life expectancy. by how much, for how many. and for whom. These
are public dollars that should benefit the many, not the few.
Mechanisms should be in place to sunset underperforming ini-
tiatives. In the current environment, scientists are pigeonholed in a
narrowdiscipline and are penalized by study sections if they exit their
specific niche. There should be incentives for scientists to acknowl•
edge that their research focus should be abandoned and help them
switch to another potentially more fruitful research area.
Another key question is whether NIH is best suited to fund
all kinds of research that have specific deliverables. In some cases.
private entrepreneurs may be most suited to develop new drug tar-
gets, new drugs. new tests, and new technologies. Financial suc-
cess in the market is a strong and sufficient incentive. Public funders
may need to focus more on blue sky science and on late evaluation
research, to evaluate without conflicts the drugs and other tech-
nologies developed by entrepreneurs.
NIH deinvestment in preclinical research promises that clearly do
not deliver will allow morefundingtobedirected toward work of clear
public health importanceand for imaginative biomedical researchthat
is truly innovative and not constrained by current narratives.
2. Collins FS. Shattuck lecture—medical and
societal consequences of the Human Genome
Prclect. N Engl./ Afe0.1999.341(1):28-37.
3. Joyner Ml. Paneth N. Seven questcris for
personalized medicine../Ama.2015.314(10):999.
IOCO.
4. Centers for Melcare & Medicaid Services. Data
and program reports. hoptifvnviv.cms.gov
fregtiations-and.gtadance/legelation
fehrincentiveprograms/dataandrepons.html.
Accessed July 22.20/6.
5. Le Tcurneau C Deiced JP. Gni-calves A. et al.
Molecularly targeted therapy based on tumour
molecular profiling versus conventional therapy for
advanced cancer (SHIVA). Loncet Oncoi. 2015:16
(13).1324.1334.
6. National Institutes of Health. NCI.Mdecular
Analysis for Therapy Choice (NU-MATCH) trial.
http://wwwcanc er.goviabout.cancer/treatment
/clinical.triabinci.supportedfnci.match. Accessed
July22. 2016.
7. Nowbar AN. Mielevicat M. Karavassilis M, et al.
Discrepancies in autologais bone marrow stem cell
trials and enhancement of ejection fraction
(DAMASCENE). BM/ 2014:348:g2688.
8. ISSCR releases updated giadelnes for stem cell
research and clinical translation [press release).
Skokie, IL: International Society for Stem Cel
Research; May 12. 2016.
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JAMA October 4.2016
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