Evidence map›Paper›PMID 38565812›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

Development and validation of a novel scoring system based on a nomogram for predicting inadequate bowel preparation.

Xiaxia Zhao, Yanglin Pan, Jinyong Hao, Jie Feng, Zhongyuan Cui, Huimin Ma, Xiaojun Huang

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
–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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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.

Xiaxia ZhaoDepartment of Gastroenterology, Lanzhou University Second Hospital, No. 82 Cuiying Men, Cheng Guan District, Lanzhou, 730030, Gansu, China. 18640697061@163.com.ORCID http://orcid.org/0000-0002-2419-3121
Yanglin PanXijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, 710032, Shanxi, China.
Jinyong HaoDepartment of Gastroenterology, Lanzhou University Second Hospital, No. 82 Cuiying Men, Cheng Guan District, Lanzhou, 730030, Gansu, China.
Jie FengDepartment of Gastroenterology, Lanzhou University Second Hospital, No. 82 Cuiying Men, Cheng Guan District, Lanzhou, 730030, Gansu, China.
Zhongyuan CuiDepartment of Gastroenterology, Lanzhou University Second Hospital, No. 82 Cuiying Men, Cheng Guan District, Lanzhou, 730030, Gansu, China.
Huimin MaDepartment of Gastroenterology, Lanzhou University Second Hospital, No. 82 Cuiying Men, Cheng Guan District, Lanzhou, 730030, Gansu, China.
Xiaojun HuangDepartment of Gastroenterology, Lanzhou University Second Hospital, No. 82 Cuiying Men, Cheng Guan District, Lanzhou, 730030, Gansu, China.

Funding

the doctoral training program of Lanzhou University Second Hospital (No. 2020QN-12).the Second Hospital of Lanzhou University under the Cuiying Science and Technology Innovation Program (No. 2020QN-12).
6 · The paper itself

Abstract

BACKGROUND AND

aimsAdequate bowel preparation (BP) is crucial for the diagnosis of colorectal diseases. Identifying patients at risk of inadequate BP allows for targeted interventions and improved outcomes. We aimed to develop a model for predicting inadequate BP based on preparation-related factors.

methodsAdult outpatients scheduled for colonoscopy between May 2022 and October 2022 were enrolled. One set (N = 913) was used to develop and internally validate the predictive model. The primary predictive model was displayed as a nomogram and then modified into a novel scoring system, which was externally validated in an independent set (N = 177). Inadequate BP was defined as a Boston Bowel Preparedness Scale (BBPS) score of less than 2 for any colonic segment. The model was evaluated by the receiver operating characteristic (ROC) curve, calibration plots, and decision curve analysis (DCA).

resultsIndependent factors included in the prediction model were stool frequency ≤ 5 (15 points), preparation-to-colonoscopy interval ≥ 5 h (15 points), incomplete dosage (100 points), non-split dose (90 points), unrestricted diet (88 points), no additional water intake (15 points), and last stool appearance as an opaque liquid (0-80 points). The training set exhibited the following performance metrics for identifying BP failure: area under the curve (AUC) of 0.818, accuracy (ACC) of 0.818, positive likelihood ratio (PLR) of 2.397, negative likelihood ratio (NLR) of 0.162, positive predictive value (PPV) of 0.850, and negative predictive value (NPV) of 0.723. In the internal validation set, these metrics were 0.747, 0.776, 2.099, 0.278, 0.866, and 0.538, respectively. The external validation set showed values of 0.728, 0.757, 2.10, 0.247, 0.782, and 0.704, respectively, indicating strong discriminative ability. Calibration curves demonstrated close agreement, and DCA indicated superior clinical benefits at a threshold probability of 0.73 in the training cohort and 0.75 in the validation cohort for this model.

conclusionsThis novel scoring system was developed from a prospective study and externally validated in an independent set based on 7 easily accessible variables, demonstrating robust performance in predicting inadequate BP.

Indexed as

ColonoscopyNomogramsAdultAgedCatharticsFemaleHumansMaleMiddle AgedROC CurveCatharticsBowel preparationColon cleansingColonoscopyOutpatientPredictive model

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.