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Record W2900973449 · doi:10.1182/blood-2018-99-117738

Engaging Patients in Clinical Trial Planning: Exploring the Concept of a Minimal Clinically Important Difference Among Patients with Obstetrical Antiphospholipid Syndrome

2018· article· en· W2900973449 on OpenAlexaffabout
Leslie Skeith, Taryn Taylor, Shannon M. Bates, Lisa Duffett, Robert M. Silver, Marc Rodger

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsOttawa HospitalMcMaster UniversityWestern UniversityUniversity of Calgary
Fundersnot available
KeywordsMedicineMinimal clinically important differenceAntiphospholipid syndromePregnancySpecialtyClinical trialRandomized controlled trialPhysical therapyAspirinThrombosisSurgeryInternal medicineFamily medicine

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION: Women with antiphospholipid syndrome are at increased risk of pregnancy loss. A large randomized controlled trial is still needed to confirm or refute the efficacy of low-molecular-weight heparin (LMWH) and aspirin (ASA) prophylaxis during pregnancy in women with antiphospholipid syndrome (APS) and past pregnancy loss. The minimal clinically important difference (MCID) is a statistical concept that quantifies the smallest amount of benefit from a treatment that a patient would identify as important, and is used to adequately power clinical trials. When planning a clinical trial, the MCID is most often determined by specialists in the field. How patients make sense of MCID as a concept, and how patients' perceptions of MCID compare to physician responses is unknown. In a challenging and high stakes situation, understanding different patients' perspectives must be considered when planning a large clinical trial. METHODS: Consecutive patients were approached from a specialty Thrombosis clinic and from the TIPPS (Thrombophilia in Pregnancy Prophylaxis Study) screening logs between January 2017 and March 2018 in Ottawa, Canada to complete a survey and interview. Patients were eligible if they met the revised Sapporo/Sydney laboratory criteria for antiphospholipid syndrome and had at least 1 late pregnancy loss or 2 early losses (<10 weeks gestation). A similar survey was distributed to 350 specialists identified through 5 professional organizations between May-Sept 2016. Both patient and physician groups had access to an introductory video. The mean MCID between the patient group and physician group was compared using an independent t-test, with p<0.05 being significant. Patient interview data were collected and analysed iteratively, in keeping with constructivist grounded theory methodology. RESULTS: There were 22 (33%) patients who completed surveys and 10 patients who completed semi-structured interviews. Among the physician group, 72 (20.6%) responded to the survey, including obstetricians (34.7%), hematologists (26.4%), general internists (18%), maternal fetal medicine specialists (6.9%) and other specialties (12.6%). Assuming a live birth rate of 60% in the ASA alone arm, the mean MCID answered by physicians was 11.6% (range 5-25%, SD 5.2), compared to the mean MCID answered by patients was 10.0% (range 5-20%, SD 6.4) (p=0.28). The mean number needed to treat (NNT) answered by both physicians and patients was 16. In the majority of cases from both groups, the related concepts of MCID and NNT did not match statistically (i.e. an MCID of 15% is a NNT of 7). An overarching theme from the patient survey comments and interviews was that statistics were somewhat irrelevant. The majority of women thought that "any increase in a chance of live birth" was worth it. However, there was variation in patient responses where some women would only accept a certain success rate of LMWH to justify its use because of drug cost or side effects. Some women acknowledged that they would not use LMWH themselves, but still advocated for other patients to have the option of LMWH use for a chance of a live birth. CONCLUSION: The mean MCID and NNT were similar between patient and physician groups. The low mean MCID and NNT values likely reflect the importance of the outcome studied (avoiding pregnancy loss) and the perceived safety of the proposed interventions of LMWH and/or ASA, which is supported by qualitative data from patient interviews. While the MCID and NNT responses were similar among physicians and patients, the understanding of statistics was somewhat limited in both groups. By better understanding patients' rationale and beliefs about LMWH use, we can better engage them in clinical trial planning and patient care and ensure that we are performing research that is relevant to patients. Disclosures Skeith: Leo Pharma: Honoraria; CSL Behring: Research Funding. Rodger:Biomerieux: Research Funding.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.085
metaresearch head score (Gemma)0.171
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.450

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0850.171
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0070.005
Open science0.0020.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.083
GPT teacher head0.331
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes2
Has abstractyes

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