Literature DB >> 24472779

Subjects no more: what happens when trial participants realize they hold the power?

Paul Wicks1, Timothy Vaughan, James Heywood.   

Abstract

Entities:  

Mesh:

Year:  2014        PMID: 24472779      PMCID: PMC3905107          DOI: 10.1136/bmj.g368

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


× No keyword cloud information.
The social contract of the randomized controlled trial is imbalanced: patients adhere to arduous protocols, are randomized to placebo, and are blinded to their health status. Although most participants (>90%) would like a lay summary of results,1 only a minority (<10%) receive one,2 with the remainder left with the option of paying around $30 (£18; €22) to read the results once the study is published in a peer reviewed journal.3 Such imbalances may have contributed to an emerging movement, enabled online by “patient powered research networks,”4 in which participants have begun systematically to unblind themselves, pool their data, parse literature, conduct statistical analyses, and post their findings online. In 2007, patients with amyotrophic lateral sclerosis (ALS) used Google to translate an Italian conference abstract suggesting that lithium carbonate might slow their illness.5 In a publication titled “Lithium delays progression of ALS” 16 patients treated with lithium (all of whom survived 15 months) were compared with 28 control patients (a third of whom did not survive the trial).6 Within six months of the abstract’s publication 160 patients reported obtaining lithium off-label and tracked their progression using Google Spreadsheets and the validated ALS functional rating scale (ALSFRS-R).7 A patient in Brazil and a caregiver in the United States initiated this patient led study, raising the question of where ethical oversight lay.8 9 Our patient network, PatientsLikeMe, already allowed entry of ALSFRS-R scores but added tracking of lithium blood concentrations, data entry reminders, and monitoring by nurses to curate reported side effects. We presented data indicating that lithium was ineffective within nine months of the randomized controlled trial10 then published longer term follow-up data with more sophisticated analyses in an open access Nature Biotechnology paper, which included the entire de-identified dataset as supplementary material.11 Four randomized controlled trials subsequently replicated our negative findings.12 Shortly thereafter randomized controlled trials of two new drugs were under way: of NP001, manufactured by Neuraltus (in a phase II trial) and Biogen’s dexpramipexole (phase III). Participants in these trials shared data while formally enrolled under protocols in which they were meant to be blinded and unaware of their ALSFRS-R score. They charted their own progress, seized on known side effects such as neutropenia in an attempt to unblind themselves, and used rudimentary statistics to analyze the efficacy of both drugs. Around a third of the total NP001 group and 10% of US dexpramipexole patients recorded data online. A third experimental group was formed when some patients read the patents on NP001 and inferred that the industrial cleaner sodium chlorite might be the active ingredient. Some patients who could not enroll in the trial started ingesting industrial sodium chlorite orally or intravenously.13 Although we had data on fewer participants than for the lithium trial, we shared our analysis of all three groups through Figshare on the eve of the unblinding of the dexpramipexole trial.14 With important caveats, we estimated that dexpramipexole was below the cusp of providing a clinically significant benefit15 and NP001 just above it, but with confidence intervals that were too wide to draw a reliable conclusion (figure). Alarmingly, patients ingesting off-label sodium chlorite progressed worse than expected (figure). Biogen’s dexpramipexole trial reported no effect,16 and funding is awaited for a phase III trial of NP001. When ALSUntangled used our data to warn against the potential dangers of sodium chlorite, its off-label use diminished.17

Estimates of effect size for selected ALS treatments. Each line represents the probability distribution of the effect size; a high, narrow peak indicates that the effect size is more precisely estimated (generally because of larger sample size). More effective treatments will be centered toward the left14

Estimates of effect size for selected ALS treatments. Each line represents the probability distribution of the effect size; a high, narrow peak indicates that the effect size is more precisely estimated (generally because of larger sample size). More effective treatments will be centered toward the left14 The concept of “scientific altruism” may be being trumped by “maximize your chance of survival.” For better or worse, digital tools enable greater self knowledge and rapid dissemination. The consequence is that scientific design, informed consent, and ethical oversight can be short circuited by patient led “disobedience.” Some drug companies will choose to share their clinical trial data (as AllTrials suggests), but even if they don’t the data can become available if participants choose to share their data themselves, something that will only be enhanced by patient access to electronic medical records. Today members of PatientsLikeMe report tracking their outcomes in over 400 randomized trials. Patients increasingly realize that they are both statistically and literally the “power” in trials and we need to build systems that redress the imbalance. If we collectively do nothing, a phase III study might be rendered scientifically null by a critical mass of participants making intentional protocol violations on PatientsLikeMe, Facebook, or Twitter. This would be a tragic outcome. To prevent that, we propose forging a new social contract that maximizes both scientific discovery and patient autonomy, setting the stage for better trials with more engaged participants. Together we can develop rigorous new methods to include patients in selecting therapies, protocol design, recruitment, feedback, lay summaries, publications, and assessment of value. We are encouraged by the development of an online “open research exchange” that allows researchers rapid access to patients for concept elicitation and psychometric validation during the development of patient reported outcome measures,18 which are now required by the FDA.19 We believe that patients may surprise many of us with their ability to identify obstacles to trial enrolment, prioritize the outcomes they truly value, and help us learn what works in the real world, not just in trials. With the new tools at their disposal patients will hold us all accountable in new and necessary ways. Patients themselves have already laid much of the groundwork; let’s ask them to continue building on these new systems together as equals.
  13 in total

1.  Accelerated clinical discovery using self-reported patient data collected online and a patient-matching algorithm.

Authors:  Paul Wicks; Timothy E Vaughan; Michael P Massagli; James Heywood
Journal:  Nat Biotechnol       Date:  2011-04-24       Impact factor: 54.908

2.  Is the lithium-for-ALS genie back in the bottle?: Not quite.

Authors:  Carmel Armon
Journal:  Neurology       Date:  2010-08-11       Impact factor: 9.910

3.  Sharing study results with trial participants: time for action.

Authors:  Ann H Partridge; Eric P Winer
Journal:  J Clin Oncol       Date:  2009-01-21       Impact factor: 44.544

4.  How the Social Web Supports patient experimentation with a new therapy: The demand for patient-controlled and patient-centered informatics.

Authors:  Jeana H Frost; Michael P Massagli; Paul Wicks; James Heywood
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

5.  A review of patient-reported outcome labels in the United States: 2006 to 2010.

Authors:  Ari Gnanasakthy; Margaret Mordin; Marci Clark; Carla DeMuro; Sheri Fehnel; Catherine Copley-Merriman
Journal:  Value Health       Date:  2012-02-02       Impact factor: 5.725

6.  Clinical significance in the change of decline in ALSFRS-R.

Authors:  Carmen Castrillo-Viguera; Daniela L Grasso; Elizabeth Simpson; Jeremy Shefner; Merit E Cudkowicz
Journal:  Amyotroph Lateral Scler       Date:  2010

Review 7.  ALSUntangled No. 19: Sodium chlorite.

Authors: 
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2013-02-19       Impact factor: 4.092

8.  The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function. BDNF ALS Study Group (Phase III).

Authors:  J M Cedarbaum; N Stambler; E Malta; C Fuller; D Hilt; B Thurmond; A Nakanishi
Journal:  J Neurol Sci       Date:  1999-10-31       Impact factor: 3.181

9.  Lithium delays progression of amyotrophic lateral sclerosis.

Authors:  Francesco Fornai; Patrizia Longone; Luisa Cafaro; Olga Kastsiuchenka; Michela Ferrucci; Maria Laura Manca; Gloria Lazzeri; Alida Spalloni; Natascia Bellio; Paola Lenzi; Nicola Modugno; Gabriele Siciliano; Ciro Isidoro; Luigi Murri; Stefano Ruggieri; Antonio Paparelli
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-04       Impact factor: 11.205

10.  Feedback of trial results to participants: a survey of clinicians' and patients' attitudes and experiences.

Authors:  Karen Cox; Nima Moghaddam; Lydia Bird; Ruth Elkan
Journal:  Eur J Oncol Nurs       Date:  2010-07-31       Impact factor: 2.398

View more
  30 in total

1.  Information and Communication Technologies, Genes, and Peer-Production of Knowledge to Empower Citizens' Health.

Authors:  Annibale Biggeri; Mariachiara Tallacchini
Journal:  Sci Eng Ethics       Date:  2015-11-07       Impact factor: 3.525

2.  Pigmented villonodular synovitis: a crowdsourcing study of two hundred and seventy two patients.

Authors:  Lizz van der Heijden; Sheila R Piner; Michiel Adrianus Josephus van de Sande
Journal:  Int Orthop       Date:  2016-05-12       Impact factor: 3.075

Review 3.  Supportive and symptomatic management of amyotrophic lateral sclerosis.

Authors:  Esther V Hobson; Christopher J McDermott
Journal:  Nat Rev Neurol       Date:  2016-08-12       Impact factor: 42.937

4.  Clinical Trials in the Era of Digital Engagement: A SWOG Call to Action.

Authors:  Krishna S Gunturu; Don S Dizon; Judy Johnson; Anne Marie Mercurio; Ginny Mason; Dana B Sparks; Wendy Lawton; Jennifer R Klemp
Journal:  JCO Clin Cancer Inform       Date:  2020-03

5.  A Scalable Framework to Detect Personal Health Mentions on Twitter.

Authors:  Zhijun Yin; Daniel Fabbri; S Trent Rosenbloom; Bradley Malin
Journal:  J Med Internet Res       Date:  2015-06-05       Impact factor: 5.428

6.  Is the genomic translational pipeline being disrupted?

Authors:  Marc S Williams
Journal:  Hum Genomics       Date:  2015-06-14       Impact factor: 4.639

7.  OB3D, a new set of 3D objects available for research: a web-based study.

Authors:  Stéphane Buffat; Véronique Chastres; Alain Bichot; Delphine Rider; Frédéric Benmussa; Jean Lorenceau
Journal:  Front Psychol       Date:  2014-10-06

8.  Sustaining Research Networks: the Twenty-Year Experience of the HMO Research Network.

Authors:  John F Steiner; Andrea R Paolino; Ella E Thompson; Eric B Larson
Journal:  EGEMS (Wash DC)       Date:  2014-06-09

Review 9.  Blinding in Clinical Trials: Seeing the Big Picture.

Authors:  Thomas F Monaghan; Christina W Agudelo; Syed N Rahman; Alan J Wein; Jason M Lazar; Karel Everaert; Roger R Dmochowski
Journal:  Medicina (Kaunas)       Date:  2021-06-24       Impact factor: 2.430

10.  "You can't always get what you want": from doctrine to practicability of study designs for clinical investigation in endometriosis.

Authors:  Paolo Vercellini; Edgardo Somigliana; Ivan Cortinovis; Benedetta Bracco; Lucrezia de Braud; Dhouha Dridi; Silvano Milani
Journal:  BMC Womens Health       Date:  2015-10-22       Impact factor: 2.809

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.