The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A novel difficulty scoring system for laparoscopic liver resection
Open accessAbstract
Early on, laparoscopic liver resection (LLR) was limited to partial resection, but major LLR is no longer rare. A difficulty scoring system is required to guide surgeons in advancing from simple to highly technical laparoscopic resections. Subjects were 90 patients who had undergone pure LLR at three medical institutions (30 patients/institution) from J anuary 2011 to A pril 2014. Surgical difficulty was assessed by the operator using an index of 1–10 with the following divisions: 1–3 low difficulty, 4–6 intermediate difficulty, and 7–10 high difficulty. Weighted kappa statistic was used to calculate the concordance between the operators' and reviewers' (expert surgeon) difficulty index. Inter‐rater agreement (weighted kappa statistic) between the operators' and reviewers' assessments was 0.89 with the three‐level difficulty index and 0.80 with the 10‐level difficulty index. A 10‐level difficulty index by linear modeling based on clinical information revealed a weighted kappa statistic of 0.72 and that scored by the extent of liver resection, tumor location, tumor size, liver function, and tumor proximity to major vessels revealed a weighted kappa statistic of 0.68. We proposed a new scoring system to predict difficulty of various LLRs preoperatively. The calculated score well reflected difficulty.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Practical Statistics for Medical Research
Altman, D. G. (1990) · doi:10.1201/9780429258589 · Cited by 10,668
Weighted kappa: nominal scale agreement provision for scaled disagreement or partial credit
Cohen, J. (1968) · Psychological Bulletin · doi:10.1037/h0026256 · Cited by 8,736
Cited by
Comparative Short-term Benefits of Laparoscopic Liver Resection: 9000 Cases and Climbing
Ciria, R., Cherqui, D., Geller, D. A., Briceno, J., & Wakabayashi, G. (2016) · Annals of Surgery · doi:10.1097/sla.0000000000001413 · Cited by 747
Self-citationDifficulty of Laparoscopic Liver Resection: Proposal for a New Classification
Kawaguchi, Y., Fuks, D., Kokudo, N., & Gayet, B. (2018) · Annals of Surgery · doi:10.1097/sla.0000000000002176 · Cited by 414
Metadata
- Authors
- Ban, D., Tanabe, M., Ito, H., Otsuka, Y., Nitta, H., Abe, Y., Hasegawa, Y., Katagiri, T., Takagi, C., Itano, O., Kaneko, H., & Wakabayashi, G.
- Venue
- Journal of Hepato-Biliary-Pancreatic Sciences
- Publisher
- Wiley
- Published
- 2014-09-21
- Volume
- 21
- Issue
- 10
- Pages
- 745-753
- ISSN
- 1868-6974 (ISSN-L)
- 1868-6982
- OpenAlex
- W1991728777
- Cited by
- 563
- References
- 2
- FWCI
- 13.75
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A novel difficulty scoring system for laparoscopic liver resection. https://app.cochat.ai/papers/10.1002/jhbp.166
- The paper
- Ban, D., Tanabe, M., Ito, H., Otsuka, Y., Nitta, H., Abe, Y., Hasegawa, Y., Katagiri, T., Takagi, C., Itano, O., Kaneko, H., & Wakabayashi, G. (2014). A novel difficulty scoring system for laparoscopic liver resection. Journal of Hepato-Biliary-Pancreatic Sciences. https://doi.org/10.1002/jhbp.166
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.