Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 386

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

The Development and Validation of a Risk Score to Predict the Probability of Postoperative Vomiting in Pediatric Patients

Eberhart, L H. J., Geldner, G, Kranke, P, Morin, A M., Sch??uffelen, A, Treiber, H, Wulf, H·2004·Anesthesia & Analgesia

Abstract

In Brief Risk scores to predict the occurrence of postoperative vomiting (PV) or nausea and vomiting that were developed for adult patients do not fit for children, because several risk factors are difficult to assess or are usually not applicable in pediatric patients (e.g., smoking status). Thus, in the present study, we sought to develop and to validate a simple score to predict PV in children (POVOC-score). Development and validation of the new score was based on data from 4 independent institutions of 1257 children (aged 0–14 yr) undergoing various types of surgery under general anesthesia without antiemetic prophylaxis. Preoperatively, several potential risk factors were recorded. Postoperatively, the occurrence of PV was observed for up to 24 h. The dataset was randomly split into an evaluation set (n = 657) that was analyzed using a forward logistic regression technique and a validation set (n = 600) that was used to confirm the accuracy of prediction by means of the area under a receiver operating characteristic curve. Four independent risk factors for PV were identified in the final analysis: duration of surgery ≥30 min, age ≥3 yr, strabismus surgery, and a positive history of PV in the children or PV/postoperative nausea and vomiting in relatives (mother, father, or siblings). The incidence of PV was 9%, 10%, 30%, 55%, and 70% for 0, 1, 2, 3, and 4 risk factors observed. Using these incidences as cut-off values in the validation dataset, the area under the receiver operating characteristic curve was 0.72 (95% confidence interval: 0.68–0.77). Our data suggest that PV can be predicted with an acceptable accuracy using a four-item simplified risk score. IMPLICATIONS: The incidence of postoperative vomiting might be predicted using duration of surgery ≥30 min, age ≥3 yr, strabismus surgery, and a positive history of postoperative vomiting/postoperative nausea and vomiting in the children or in their relatives. The predicted incidence of postoperative vomiting is 9%, 10%, 30%, 55%, and 70% for 0–4 of these risk factors present.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1213/01.ane.0000135639.57715.6c

Cites

22 of 22 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 22 references

Cited by

See all 386

Metadata

Authors
Eberhart, L. H. J., Geldner, G., Kranke, P., Morin, A. M., Sch??uffelen, A., Treiber, H., & Wulf, H.
Venue
Anesthesia & Analgesia
Published
2004-12
Volume
99
Issue
6
Pages
1630-1637
ISSN
0003-2999 (ISSN-L)
OpenAlex
W2112415706
Cited by
386
References
22
FWCI
10.00
Type
journal article
Language
en
Open access
closed

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: The Development and Validation of a Risk Score to Predict the Probability of Postoperative Vomiting in Pediatric Patients. https://app.cochat.ai/papers/10.1213/01.ane.0000135639.57715.6c
The paper
Eberhart, L. H. J., Geldner, G., Kranke, P., Morin, A. M., Sch??uffelen, A., Treiber, H., & Wulf, H. (2004). The Development and Validation of a Risk Score to Predict the Probability of Postoperative Vomiting in Pediatric Patients. Anesthesia & Analgesia. https://doi.org/10.1213/01.ane.0000135639.57715.6c

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.