ArticlePlastic and reconstructive surgery. Global open2018
Geospatial Analysis of Risk Factors Contributing to Loss to Follow-up in Cleft Lip/Palate Care.
Article in Plastic and reconstructive surgery. Global open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review.JMIR medical informatics · 2024Pooled it
- Burden of Travel is not Associated with Adherence to Follow-up Appointments - A Call for Centralization of Cleft Care in Germany.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2026Article
- Integrating mental health assessment and intervention into cleft care: a prospective cohort study from a tertiary clinic in India.Child and adolescent psychiatry and mental health · 2026Article
- Loss to Follow-up After Tendon Repair: Impact on Functional Recovery.Plastic and reconstructive surgery. Global open · 2026Article
- Mucosal Rugosity Unfolding Technique: A Novel Technique for the Management of Anterior Palatal Fistulae.Plastic and reconstructive surgery. Global open · 2025Article
- Social Capital and Pediatric Tracheostomy Outcomes.Laryngoscope investigative otolaryngology · 2025Article
- The Burden of Plastic Surgery in Rural Kenya: The Kapsowar Hospital Experience.Plastic and reconstructive surgery. Global open · 2024Article
- Hand Therapy after Flexor and Extensor Tendon Repair: Assessing Predictors of Loss to Follow-up.Plastic and reconstructive surgery. Global open · 2023Article
- Follow-Up Care Barriers for Patients with Orofacial Clefts.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2022Article
- Predicting for Lost to Follow-up in Surgical Management of Patients with Chronic Subdural Hematoma.World neurosurgery · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultidisciplinary cleft care depends on follow-up at specified time points to monitor and address functional or aesthetic concerns that may arise during a child's development. However, loss to follow-up (LTFU) is common and can lead to missed opportunities for therapeutic and surgical intervention. This study explores clinical, demographic, and geographic determinants of LTFU in cleft care.
methodsMedical records were retrospectively evaluated for 558 pediatric patients of a single mid-volume cleft team. The primary outcome was LTFU. Spatial dependency was evaluated using variograms. The probability of LTFU was assessed using a generalized linear geostatistical model within a Bayesian framework. Risk maps were plotted to identify vulnerable communities within our state at higher risk of LTFU.
resultsYounger age at last encounter was a strong predictor of LTFU (
conclusionsGeostatistical methods are able to identify risk factors missed by traditional statistical analysis. Knowledge of vulnerable populations allow a cleft team to allocate more resources toward high-risk areas to rectify or prevent deficiencies in care.
Identifiers
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Registered trials
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.