Evidence map›Paper›PMID 40903690›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2025

Frequency and patterns of CMF emergency cases during and after COVID-19.

Philipp Thoenissen, Leonie Ditt, Philip Terwey, Maximilian Leiblein, Shahram Ghanaati, Robert Sader, Benjamin Friedrichson

Abstract read
In one paragraph

Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Maxillofacial fractures associated with electric scooter trauma: a cohort study from a national level I trauma center.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Observational
  2. Article
  3. Observational
  4. Frequency and patterns of craniomaxillofacial surgery during and after COVID-19: analysis of the Japanese national database.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Article
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

7 authors.

Philipp ThoenissenDepartment of Oral, Cranio-Maxillofacial and Plastic Facial Surgery, Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany. thoenissen@med.uni-frankfurt.de.
Leonie DittDepartment of Oral, Cranio-Maxillofacial and Plastic Facial Surgery, Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Philip TerweyDepartment of Oral, Cranio-Maxillofacial and Plastic Facial Surgery, Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Maximilian LeibleinDepartment of Trauma, Hand and Reconstructive Surgery, Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Shahram GhanaatiDepartment of Oral, Cranio-Maxillofacial and Plastic Facial Surgery, Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Robert SaderDepartment of Oral, Cranio-Maxillofacial and Plastic Facial Surgery, Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Benjamin FriedrichsonDepartment of Anesthesiology, Intensive Care Medicine and Pain Therapy, Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCraniomaxillofacial (CMF) trauma constitutes a significant proportion of hospital presentations, often resulting from high-energy mechanisms such as interpersonal violence and traffic accidents. The COVID-19 pandemic and associated public health restrictions markedly altered daily life and social behavior, potentially influencing trauma patterns and emergency healthcare utilization.

methodsWe conducted a retrospective analysis of nationwide anonymized inpatient data from German hospitals, reported to the National Institute for the Hospital Remuneration System (InEK), covering the period from March 18, 2019 to March 17, 2023. CMF trauma cases were identified using ICD-10 codes and stratified across four timeframes: pre-pandemic, pandemic, post-pandemic, and normalization. Statistical analysis included descriptive evaluation and Poisson regression.

resultsA total of 118,620 CMF-related diagnoses were recorded in the pre-pandemic period, which declined significantly during the pandemic (- 14.66%, p < 0.0001). Although case numbers increased in the post-pandemic (+ 4.95%, p < 0.0001) and normalization periods (+ 12.65%, p < 0.0001 compared to pandemic), they did not fully return to pre-pandemic levels. The largest relative declines were observed for mandibular and midfacial fractures. In contrast, general trauma indicators such as distal radius fractures remained relatively stable, suggesting a trauma-mechanism-specific effect.

conclusionThe COVID-19 pandemic significantly reduced the number of CMF emergency cases in Germany, with partial recovery observed in subsequent years. These findings reflect shifts in trauma etiology and healthcare-seeking behavior during and after pandemic-related societal changes.

Indexed as

COVID-19Emergency Service, HospitalMaxillofacial InjuriesAdolescentAdultAgedChildFemaleGermanyHumansMaleMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2Young AdultCOVID-19Craniomaxillofacial traumaFacial fracturesICD-10Public healthTrauma epidemiology

Identifiers

PMID40903690
PMCPMC12408691

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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.