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Record W4417335761 · doi:10.7759/cureus.99303

Impact of Preoperative Ineffective Oesophageal Motility on Postoperative Dysphagia Following Nissen Fundoplication: A Systematic Review and Meta-Analysis

2025· article· en· W4417335761 on OpenAlexaboutno aff
Varun Arunagiri, Kothai Anbalagan, Sathish Kumar, Agnes J Cyriac

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsDysphagiaNissen fundoplicationMeta-analysisEsophageal motility disorderOdds ratioRefluxConfidence intervalGERDPublication bias

Abstract

fetched live from OpenAlex

Nissen fundoplication (NF) is one of the most common anti-reflux surgeries (ARS) performed worldwide for gastro-oesophageal reflux disease (GERD). There is a theoretical belief that ineffective oesophageal motility (IEM) can cause increased postoperative dysphagia (POD) following NF due to weak and failed peristalsis against a 360-degree wrap. There is scarce evidence to support the hypothesis that NF in pre-existing ineffective oesophageal motility causes increased POD. This study aims to identify the impact of preoperative IEM on POD following NF. In this study, based on the PRISMA guidelines, we conducted a systematic search for articles published in PubMed, Scopus, EMBASE, as well as in the Cochrane Library, using the search terms "ineffective oesophageal motility", "motility disorder and fundoplication", "Esophageal hypomotility", "Ineffective esophageal motility and GERD" from the inception of these databases to an end date of September 22, 2025. The study participants included patients who had NF for GERD and who had pre-existing IEM. These patients were compared with NF patients with normal motility or non-IEM patients. The outcome measured was POD following NF. The odds ratio and its 95% confidence interval were calculated using the random-effects model. A sensitivity analysis was performed to assess heterogeneity within the study population. For publication bias funnel plots and risk of bias assessment in randomised controlled trials, the Risk of Bias 2 (RoB) is used. For non-randomised studies, the Newcastle-Ottawa Scale (NOS) score is employed. A total of 10 articles were identified in the search, involving 1473 patients, of whom 1093 had undergone Nissen fundoplication. Among these 1093 patients, 427 had pre-existing IEM. The forest plot in this study suggests that there is no statistical significance in the POD between IEM and non-IEM patients following NF (P = 0.30, Odds ratio = 1.20, overall effect Z = 1.04, df = 5, I2 = 0%, 95% CI 0.82, 1.71). There is no statistically significant improvement in POD in patients with IEM compared with preoperative dysphagia following NF in RCTs. In contrast, observational studies show considerable improvement in POD in patients with IEM following NF. The overall effects yielded a p-value = 0.01, OR = 0.40, 95% CI, overall effect Z = 2.54, I2 = 73%. Following NF, POD occurred at similar rates in both IEM and non-IEM patients (P = 0.30, OR = 1.2). NF does not worsen the preoperative dysphagia in patients with IEM and GERD. There can be other factors which worsen postoperative dysphagia. In fact, POD has improved following NF in IEM (P = 0.01, OR = 0.40); however, these results are based primarily on observational studies and on heterogeneous data (I2 = 73%).

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)0.011
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.031
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0180.037
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.028
GPT teacher head0.375
Teacher spread0.347 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

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