Corrigendum to “Beneficial immune-modulatory effects of the N-163 strain of Aureobasidium pullulans-produced 1,3-1,6 Beta glucans in Duchenne muscular dystrophy: Results of an open-label, prospective, exploratory case-control clinical study” [IBRO Neurosci. Rep. 15 (2023), pp. 90–99]
Bibliographic record
Abstract
The authors regret that the last section of Table 2 was missing from the published version. The correct table has been included below with the missing section highlighted in red text.Table 2Demographics and baseline characteristics.Control Steroid -veSubjectAge in yearsWeight in kgsExon DeletionClinical DiagnosisAmbulatory/ Non-AmbulatoryDose of Deflazacort (mg/day)Duration of consumption of steroids16–101210 & 11Duchenne Muscular Dystrophy (DMD)AmbulatoryNANA26–102746–55Duchenne Muscular Dystrophy (DMD)Non-AmbulatoryNANA316–2048Duchenne Muscular Dystrophy (DMD)AmbulatoryNANA411–15608–48Duchenne Muscular Dystrophy (DMD)Non-AmbulatoryNANA511–155510–11/DupDuchenne Muscular Dystrophy (DMD)Non-AmbulatoryNANAControl Steroid +ve116–206544Duchenne Muscular Dystrophy (DMD)Non-Ambulatory68 years26–10255 & 6Duchenne Muscular Dystrophy (DMD)Ambulatory122.5 months36–102149–52Duchenne Muscular Dystrophy (DMD)Ambulatory911 months411–154852Duchenne Muscular Dystrophy (DMD)Ambulatory66 yearsN-163 Steroid -ve16–102848–50Duchenne Muscular Dystrophy (DMD)AmbulatoryNANA21–51045–50Duchenne Muscular Dystrophy (DMD)AmbulatoryNANA311–153845–50Duchenne Muscular Dystrophy (DMD)AmbulatoryNANA46–104560Becker muscular dystrophy (BMD)AmbulatoryNANA56–103910–11/ DupDuchenne Muscular Dystrophy (DMD)Non-AmbulatoryNANA66–102149–52Duchenne Muscular Dystrophy (DMD)AmbulatoryNANA711–153943Duchenne Muscular Dystrophy (DMD)Non-AmbulatoryNANA811–1540Duchenne Muscular Dystrophy (DMD)Non-AmbulatoryNANA96–102244–57/DupDuchenne Muscular Dystrophy (DMD)AmbulatoryNANAN-163 Steroid +ve11–51848–50Duchenne Muscular Dystrophy (DMD)Non-Ambulatory65 months211–155917Duchenne Muscular Dystrophy (DMD)Ambulatory62 months311–154060Becker muscular dystrophy (BMD)Ambulatory66 years46–102048–52Duchenne Muscular Dystrophy (DMD)Ambulatory63 years56–103648–50Duchenne Muscular Dystrophy (DMD)Ambulatory63 years611–155818–29Duchenne Muscular Dystrophy (DMD)Non-Ambulatory66 years76–102248–52Duchenne Muscular Dystrophy (DMD)Ambulatory32 years811–153648–52Duchenne Muscular Dystrophy (DMD)Non-Ambulatory65 years911–152906–07Duchenne Muscular Dystrophy (DMD)Ambulatory62 months Open table in a new tab The authors would like to apologise for any inconvenience caused. DOI of original article: https://doi.org/10.1016/j.ibneur.2023.06.007. Beneficial immune-modulatory effects of the N-163 strain of Aureobasidium pullulans-produced 1,3-1,6 Beta glucans in Duchenne muscular dystrophy: Results of an open-label, prospective, exploratory case-control clinical studyIBRO Neuroscience ReportsVol. 15PreviewThis exploratory case-control study is to evaluate the effects of supplementation of Aureobasidium pullulans-N-163 strain produced 1,3–1,− 6 beta glucan in young patients with Duchenne muscular dystrophy (DMD). Full-Text PDF Open Access
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.163 | 0.066 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".