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Record W2023159692 · doi:10.1097/brs.0b013e3181e41f87

The Highest Level of Evidence in a High Impact Journal: Is This the Final Verdict?

2010· article· en· W2023159692 on OpenAlexaff
Charles G. Fisher, Alexander R. Vaccaro

Bibliographic record

VenueSpine · 2010
Typearticle
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineExternal validityInternal validityFace validityPopulationRandomized controlled trialClinical trialConfoundingEvidence-based medicinePhysical therapyAlternative medicineClinical psychologySurgerySocial psychologyPsychometricsPsychologyInternal medicinePathology

Abstract

fetched live from OpenAlex

Evidence-based medicine involves the deliberate integration of clinical research into therapeutic decision making.1 A prospective, randomized control trial (PRCT) is assumed to equally distribute unknown confounding variables and only manipulate the “treatment variable.” In medical PRCTs, this usually occurs in a well-defined population to determine efficacy; that is, does the intervention work on the participants in the study (internal validity)? In most medical (drug) studies, the greater challenge is determining whether the results can be extended to patients not in the study, so called external validity. Surgical or interventional studies face the same generalizabilty or external validity issues; however, one of the greatest challenges in surgical trials is patient recruitment, and the establishment of a valid study population to ensure internal validity. The recent history of medicine has been punctuated by PRCTs, which have established, reinforced, and challenged traditional clinical beliefs.2 One example of the astounding effect of level I trials is the recent literature on percutaneous vertebroplasty (PVP) compared with sham procedures3,4 and to conservative treatment5 for treatment of osteoporotic vertebral compression fractures. Many clinicians experience significant cognitive dissonance6 between the astounding early clinical improvement of many patients and the popular media perception of the results of these trials. An excellent review in this issue of the journal effectively dissects 2 of these studies and highlights strengths and weaknesses.5 However, the impact of these studies and others really distills down to the difficulties with establishing both internal and external validity. The major challenge of PRCTs is the requirement of equipoise by both patients and physicians regarding 2 apparently equally effective treatments. Clinicians may be biased to recommend direct interventions to some patients and only enroll patients in whom there is less severe intensity of symptoms, although this is controlled for once the study begins, the bias can be still appear through the inclusion-exclusion criteria developed by the clinicians. It is often the inclusion-exclusion measures that are adjusted based on expected recruitment. Patient consent to participate in interventional studies is by far the greatest challenge as systematic differences evolve between patients willing to participate in randomization. There may be significant differences in risk taking, expectations, and perseverance in people who are willing to relegate their treatment to chance versus patients who refused to participate. This volunteer bias would be akin to selection bias in observational studies. Most interventional studies have roughly 33% enrollment of those patients eligible. Patient preference is a big part of evidence-based medicine, and perhaps, the reason for the observational study advocates touting it as the best methodology for ensuring external validity. This dilemma was addressed in the Spine Patient Outcomes Research Trial by including an observational cohort to capture patients who were not enrolled in the prospective, randomized study.7,8 PRCTs are expected to have appropriate and accurate long term follow-up. However, in some situations long term follow-up may be less relevant than early functional results. For example, in the orthopedic literature, the natural history of most femur fractures is healing by 6 to 12 months regardless of treatment.9,10 The goal of internal fixation is early mobilization and pain control to avoid the sequelae of prolonged immobilization, possibly at the expense of soft tissue stripping and healing. Similarly, because the vertebral bodies have an excellent blood supply and soft tissue envelope, it is not surprising that the natural history of vertebral compression fractures is healing by 6 to 12 months. Is it fair to judge the long-term outcome of vertebroplasty compared with conservative treatment? Would anyone for go internal fixation of a femur fracture because of the equivocal long-term fracture healing? The real question is whether the “internal fixation” facilitates substantial early pain improvement and mobilization. Indeed, early pain relief after PVP has been observed in all of the PVP trials.11 An important overlooked result in the Rousing et al study was the significant (1.3 point, P < 0.02) improvement in Barthel functional score in the PVP group over the conservative group at 12 months. This functional improvement may be a reflection of earlier pain control and mobilization compared with conservatively treated patients. In practicing evidence-based medicine, we as clinicians and researchers must be wary of assigning truths to PRCTs, even if published in high impact journals. The so-called pinnacle of the research design hierarchy is not immune to methodological limitations often camouflaged by the unique and coveted PRCT design for evaluation of a surgical intervention. Common sense, continued investigation, and an appreciation of the principles around internal and external validity of high-level evidence studies will hopefully guide our practices in the future of spinal care.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.202
GPT teacher head0.418
Teacher spread0.216 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations7
Published2010
Admission routes1
Has abstractyes

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