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Develop a NomogramNCT06025188

Development and Validation of a Nomogram Predicting the Probability of in Hirschsprung Children Following Surgery

An observational study of Develop a Nomogram, run by Tongji Hospital at 1 site in China.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

Postoperative soiling is a common complication following Hirschsprung disease [HSCR] surgery. The aim of this study was to develop a nomogram for predicting the probability of postoperative soiling in patients aged >1 year operated for HSCR. Read more about this study

Who is it for?
Ages 1 year and older
Conditions the study is for
Develop a Nomogram
What is being tested?
training set
How many people
600 participants
Where
1 siteChina
Study dates
1 Jul 2021to 1 Aug 2022
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 1 year and older
  • All sexes
  • No healthy volunteers
  • Child, Adult, Older adult

Study population: This retrospective study was conducted on patients diagnosed with HSCR who underwent surgical treatment at our hospital department from January 2000 to December 2019.

Who may be able to join

  • Patients were experienced soiling persisting for more than 6 months following surgery.
  • Patients aged >1 year, gender is not limited. The patient must sign an informed consent form and can actively cooperate with the treatment and follow-up.

Who cannot join

  • Patients with other severe deformity. Patients with mental symptoms or other disease. patients who had their initial surgery at another institution.

Trial locations and contacts

1 site in 1 country.

China1 site
  • Tongji hospital affiliated to tongji medical college of huazhong university of science and technology

    Wuhan, Hubei, 430030

Other trials in China

About this study

Official title: Department of Pediatric Surgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology

Postoperative soiling is a common complication following Hirschsprung disease [HSCR] surgery. The aim of this study was to develop a nomogram for predicting the probability of postoperative soiling in patients aged >1 year operated for HSCR. The investigators retrospectively analyzed HSCR patients with surgical therapy over one year of age from January 2000 and December 2019 at our department. Eligible patients were randomly categorized into the training and validation set at a ratio of 7:3. By integrating the least absolute shrinkage and selection operator [LASSO] and multivariable logistic regression analysis, crucial variables were determined for establishment of nomogram. And, the performance of nomogram was evaluated by C-index,area under the receiver operating characteristic curve [ROC], calibration curves, and decision curve analysis [DCA]. Meanwhile, a validation set was used to further assess the model.

Read the detailed description

This retrospective study was conducted on patients diagnosed with HSCR who underwent surgical treatment at our hospital department from January 2000 to December 2019. This research study was reviewed and approved by the ethics committee at Hospital, waiving the requirement for informed consent in alignment with the Declaration of Helsinki. The number of the institutional reviewboard approval is S108. The diagnosis of HSCR was established through preoperative examinations, which included barium enema, anorectal manometry, and suction rectal biopsy. Additionally, postoperative pathological examination was conducted to further confirm the diagnosis. All operations were performed in accordance with the standard procedures by experienced surgical groups in our department.

2.2. Definition of soiling This study refers to the diagnostic criteria for soiling as described in the published literature . Based on the previously established criteria and clinical experience, patients who experienced soiling persisting for more than six months following surgery were ultimately identified for inclusion in this study. In this study, patients with Down's syndrome, and other established syndromes potentially contributed to maldevelopment were excluded as previous described . In addition, patients who had their initial surgery at another institution were excluded from the study, as well as any participants received staged treatment or had missing data related to soiling.

In this study, The investigators collected the clinical information about patients from a thorough review of relevant literatures and clinical judgement. These data included the age for definitive surgery, sex, weight at operation, premature delivery history, family history, meconium, duration of constipation, conservative treatment, surgical history, surgical techniques, length of removed bowel, surgical procedure, and soiling status. The surgical techniques included laparoscopic-assisted pull-through [LAPT], laparotomy-assisted endorectal pull-through [LEPT], and transanal endorectal pull-through [TEPT]. Length of removed bowel included left colectomy, subtotal ectomy, and total colectomy. Surgical procedures were categorized as Soave, Heart-Shaped, Rebbein, Duhamel, and others. Data with a deletion rate >= 20% were excluded from the analysis. The trimming method was introduced to address with abnormal values and a multiple imputation method was employed to interpolate missing data All patients were randomly assigned into training and validation set in a 7:3 ratio as previous reported. No significant differences were observed in demographic and clinical characteristics between the training and validation sets. To determine potential predictive factors, the training set was subjected to LASSO regression analysis, which effectively eliminated several irrelevant or multicollinearity independent variables to reduce high-dimensional data . Then, the multivariable logistic regression analysis was applied to determine the variables of soiling in patients with HSCR following surgery over one year of age. Finally, a nomogram was created based on the training set and validated in the validation set.

Discrimination and calibration were employed to assess and test the predictive accuracy of the established model. Harrell's concordance index [C-index] and the receiver operating characteristic [ROC] curve [AUC] were generated to estimate the discrimination of the nomogram. A C-index close to 1 indicates a high level of predictive ability of the model. Additionally, an AUC > 0.80 indicates relatively good discrimination. The calibration of the nomogram was accompanied with the Hosmer-Lemeshow test were developed to determine the consistency between the predicted and observed occurrence of soiling. Lastly, DCA was performed to evaluate clinical practicability of the nomograms. Both discrimination and calibration were assessed by bootstrapping with 1000 resamples.

For parameters with continuous variables, the normal distribution was expressed as mean ± standard deviation [SD], and the skewed distribution was presented as median [M] and quartile range [Q25-Q75]. Continuous data between two groups were compared using the independent t-test. The unequal variance t-test was used to compare data between groups with unequal variances. In cases of skewed distribution, the Mann-Whitney U test was employed. Furthermore, categorical data were compared using 2 or Fisher's exact test. Statistical analysis was performed using R Software v.4.0.2 [The R Project for Statistical Computing, www.r-project.org] with the "rms" package utilized for logistic regression analysis and nomogram construction. A two-sided P-value less than 0.05 was considered statistically significant.

Being tested
training set

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • training setOther

    LASSO regression analysis, Logistic regression analysis, Nomogram

Study groups in NCT06025188
Study groupRoleWhat they receive
training setTo determine potential predictive factors, the training set was subjected to LASSO regression analysis, which effectively eliminated several irrelevant or multicollinearity independent variables to reduce high-dimensional data
Receives: Other: training set
validation setThe multivariable logistic regression analysis was applied to determine the variables of soiling in patients with HSCR following surgery over one year of age. Finally, a nomogram was created based on the training set and validated in the validation set.
Receives: Other: training set

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Harrell's concordance index (C-index)

    Harrell's concordance index [C-index] was generated to estimate the discrimination of the nomogram A C-index close to 1 indicates a high level of predictive ability of the model.

    Measured: 1 month

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted6 Sep 2023
  2. Study start1 Jul 2021
  3. Primary completion1 Aug 2021
  4. Study completion1 Aug 2022

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Retrospective
Enrolment
600 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT06025188
Sponsor's protocol ID
TJH-DVNPPH
Status last verified
Sep 2023
First submitted
25 Aug 2023
Last updated
6 Sep 2023
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Undecided

Publications

  • Wang P, Fang E, Zhao X, Feng J. Nomogram for soiling prediction in postsurgery hirschsprung children: a retrospective study. Int J Surg. 2024 Mar 1;110(3):1627-1636. doi: 10.1097/JS9.0000000000000993.

    PubMed 38116670

Questions about this trial

What is this clinical trial studying?

An observational study of Develop a Nomogram, run by Tongji Hospital at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 2 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 6 Sep 2023. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Harrell's concordance index (C-index) (time frame: 1 month). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT06025188, which also lists 1 linked publication.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 Sep 2023.

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