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.
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
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.
- Conditions
- Develop a Nomogram
- 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 group | Role | What they receive |
|---|---|---|
| training set | 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 Receives: Other: training set | |
| validation set | 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. Receives: Other: training set |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
- First posted6 Sep 2023
- Study start1 Jul 2021
- Primary completion1 Aug 2021
- Study completion1 Aug 2022
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Develop a NomogramStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
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)
Sponsor and investigators
- Lead sponsor
- Tongji Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Jiexiong Feng, Tongji Hospital
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
Study at a glance
From the registry record, last updated by the sponsor on 6 Sep 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Department of Pediatric Surgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology
- ClinicalTrials.gov ID
- NCT06025188
- Acronym / sponsor ID
- TJH-DVNPPH
- Conditions
- Develop a Nomogram
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 600 participants (actual)
- Lead sponsor
- Tongji HospitalUniversity, hospital or other
- Study start
- 1 Jul 2021 (actual)
- Primary completion
- 1 Aug 2021 (actual)
- Study completion
- 1 Aug 2022 (actual)
- First posted
- 6 Sep 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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.
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| training set | – | Other: 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 |
| validation set | – | Other: training 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. |
Who may qualify
- Ages
- 1 year and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- 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.
Key inclusion criteria (2 listed)
- 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.
Key exclusion criteria (1 listed)
- Patients with other severe deformity. Patients with mental symptoms or other disease. patients who had their initial surgery at another institution.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| training setLASSO regression analysis, Logistic regression analysis, Nomogram | Other | training set, validation set |
Primary outcome
Harrell's concordance index (C-index)
Time frame: 1 month
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.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 Sep 2023.
- Derived from this study: PubMed 38116670Wang 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.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
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.