Evidence map›Paper›PMID 42474862›Full record

ArticleJournal of robotic surgery2026

Pseudo-publication bias in robotic surgery: structural mapping of narrative inertia.

Edmundo Inga-Zapata, Heidi Silva, Christian Perez, Elena Ruiz-Úcar, Cinthia Espinoza, Jesús Guarecuco, Jaime T Lee, Rodolfo J Oviedo

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Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Edmundo Inga-ZapataSurgical Research Lab, DRAA-Larkin Health System, Miami, FL, USA. edmundoinga@gmail.com.ORCID http://orcid.org/0000-0002-0613-0709
Heidi SilvaSurgical Research Lab, DRAA-Larkin Health System, Miami, FL, USA.
Christian PerezDepartment of Surgery, Harbor-UCLA Medical Center, Torrance, CA, USA.
Elena Ruiz-ÚcarBariatric, Metabolic & Endocrine Unit, General & Digestive Surgery Department, Fuenlabrada University Hospital, Rey Juan Carlos University, Madrid, Spain.
Cinthia EspinozaSurgical Research Lab, DRAA-Larkin Health System, Miami, FL, USA.
Jesús GuarecucoDepartment of General Surgery, Larkin Community Hospital, South Miami, USA.
Jaime T LeeDepartment of General Surgery, Larkin Community Hospital, South Miami, USA.
Rodolfo J OviedoDepartment of Surgery, Nacogdoches Medical Center, Nacogdoches, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid worldwide adoption of robotic surgery often outpaces high-level comparative evidence. While evidence-based medicine relies on a hierarchical pyramid where causal inference resides at the apex, most of the scientific output is concentrated at the non-comparative base. It remains unknown whether the directional conclusions of these literature layers are symmetrically aligned. This study aimed to map the structural distribution of conclusions across the evidence hierarchy in visceral robotic surgery to evaluate potential narrative discordance. A stratified random sampling of intracavitary robotic surgery publications (thoracic, abdominal, and pelvic) was conducted from PubMed (1997-2026). Our sample size was calculated to achieve maximum representativeness (n = 800). Publications were equally partitioned into two pragmatic functional layers based on the presence of a control group: the Upper Hierarchy Zone (comparative layer, n = 400) and the Lower Hierarchy Zone (non-comparative layer, (n = 400). Directional orientations of author conclusions were operationally categorized as Favorable, Neutral, or Unfavorable. To ensure non-biased processing and scalability, semantic classification was executed via a Large Language Model (GPT-5.4), previously validated against a three-evaluator human pilot trial (absolute agreement 92%, Cohen's kappa > 0.81). Statistical analysis utilized Chi-square tests and Odds Ratio (OR) calculation with 95% Confidence Intervals (CI), with a secondary bipartite analysis (favorable vs. non-favorable). The global overview of the entire dataset (n = 800) demonstrated an illusion of literary equilibrium: 51.75% (n = 414) favorable, 45.50% (n = 364) neutral, and 2.75% (n = 22) unfavorable conclusions. However, stratification revealed a massive structural asymmetry (chi^2 = 312.9, p < 0.001). Within the upper hierarchy, conclusions were overwhelmingly non-favorable (79.50% vs. 20.50% favorable), dominated by neutral comparative outcomes (77.75%). Conversely, the lower hierarchy was heavily skewed toward favorable outcomes (83.00% favorable vs. 17.00% non-favorable). The lower zone also served as a sharper sensor of surgical failure, reporting a higher raw unfavorable rate (3.75%) than the apex (1.75%). Pragmatic bipartite analysis demonstrated that a publication at the base of the evidence pyramid has nearly 19 times higher odds of reporting a favorable conclusion compared to those at the comparative apex (OR 18.93, 95% CI: 13.84-26.87). A profound structural asymmetry exists within the robotic surgery literature. The disproportionate volume of highly favorable, lower-tier evidence numerically overwhelms comparative data, creating a phenomenon of "pseudo-publication bias." This structural distortion generates a powerful narrative inertia that drives global clinical adoption and shapes professional perception through cumulative enthusiasm rather than demonstrated methodological superiority.

Indexed as

Evidence-Based MedicinePublication BiasRobotic Surgical ProceduresHumansBibliometricsEvidence-based medicineNarrative inertiaPseudo-publication biasPublication biasRobotic surgery

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.