SynthesisAesthetic plastic surgery2024
The Efficacy of Intercostal Nerve Block in the Management of Postoperative Pain After Costal Cartilage Harvest for Craniofacial Reconstruction Systematic Review and Meta-analysis.
Synthesis in Aesthetic plastic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed, 1 citations in OpenAlex.
- A New Concept of Costal Cartilage Harvest in the Reduction of Postoperative Pain at Donor Site.Aesthetic plastic surgery · 2026Article
- The role of costal cartilage in musculoskeletal regeneration: A systematic review.Journal of experimental orthopaedics · 2026Review
- Efficacy of anterior serratus plane block and intercostal nerve block in cardiothoracic surgery: a meta-analysis.Frontiers in surgery · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAutologous costal cartilage harvest is a common procedure in craniofacial reconstruction due to its stability, dependability, and diversity. However, such a procedure is associated with severe donor-site pain postoperatively. Therefore, we aim through this study to compare the efficacy of intercostal nerve block in the management of postoperative pain in patients undergoing costal cartilage harvest for craniofacial reconstruction.
methodThis systematic review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The study systematically reviewed MEDLINE, Cochrane, and EMBASE databases without time-limitation.
resultsAs a result of reviewing the literature, 33 articles were screened by full-text resulting in 14 articles which met our inclusion/exclusion criteria. However, only four high-quality RCT articles were included in the quantitative synthesis (meta-analysis). The findings of this study suggest that there is no significant difference in pain scores between ICNB and control groups at 12, 24, and 48 h postoperatively, both at rest and with coughing. Therefore, both techniques are considered safe and effective.
conclusionOur results show evidence of favorable outcome of preventive donor-site analgesia with ICNB for harvesting autologous costal cartilage in multiple studies. However, the overall outcomes were insignificant between the two arms. NO LEVEL ASSIGNED: This journal requires that authors assign a level of evidence to each submission to which Evidence-Based Medicine rankings are applicable. This excludes Review Articles, Book Reviews, and manuscripts that concern Basic Science, Animal Studies, Cadaver Studies, and Experimental Studies. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.
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What OpenQuestion holds
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.