Evidence map›Paper›PMID 35317276›Full record

ArticleWorld journal of gastroenterology2022

Clinical online nomogram for predicting prognosis in recurrent hepatolithiasis after biliary surgery: A multicenter, retrospective study.

Tian Pu, Jiang-Ming Chen, Zi-Han Li, Dong Jiang, Qi Guo, Ang-Qing Li, Ming Cai, Zi-Xiang Chen, Kun Xie, Yi-Jun Zhao and 5 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in World journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

15 authors at 3 institutions in 1 country.

Tian PuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Jiang-Ming ChenDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Zi-Han LiDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Dong JiangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Qi GuoDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Ang-Qing LiDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Ming CaiDepartment of General Surgery, The First Affiliated Hospital of the University of Science and Technology of China, Hefei 230001, Anhui Province, China.
Zi-Xiang ChenDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Kun XieDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Yi-Jun ZhaoDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Cheng WangDepartment of General Surgery, The First Affiliated Hospital of the University of Science and Technology of China, Hefei 230001, Anhui Province, China.
Hui HouDepartment of General Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Zheng LuDepartment of General Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233030, Anhui Province, China.
Xiao-Ping GengDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Fu-Bao LiuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China. lancetlfb@126.com.
First Affiliated Hospital of Anhui Medical University · CNAnhui Medical University · CNSecond Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethods for predicting the prognosis of patients undergoing surgery for recurrent hepatolithiasis after biliary surgery are currently lacking.

aimTo establish a nomogram to predict the prognosis of patients with recurrent hepatolithiasis after biliary surgery.

methodsIn this multicenter, retrospective study, data of consecutive patients in four large medical centers who underwent surgery for recurrent hepatolithiasis after biliary surgery were retrospectively analyzed. We constructed a nomogram to predict the prognosis of recurrent hepatolithiasis in a training cohort of 299 patients, following which we independently tested the nomogram in an external validation cohort of 142 patients. Finally, we used the concordance index (C-index), calibra-tion, area under curve, decision curve analysis, clinical impact curves, and visual fit indices to evaluate the accuracy of the nomogram.

resultsMultiple previous surgeries [2 surgeries: Odds ratio (95% confidence interval), 1.451 (0.719-2.932); 3 surgeries: 4.573 (2.015-10.378); ≥ 4 surgeries: 5.741 (1.347-24.470)], bilateral hepatolithiasis [1.965 (1.039-3.717)], absence of immediate clearance [2.398 (1.304-4.409)], neutrophil-to-lymphocyte ratio ≥ 2.462 [1.915 (1.099-3.337)], and albumin-to-globulin ratio ≤ 1.5 [1.949 (1.056-3.595)] were found to be independent factors influencing the prognosis. The nomogram constructed on the basis of these variables showed good reliability in the training (C-index: 0.748) and validation (C-index: 0.743) cohorts. Compared with predictions using traditional classification models, those using our nomogram showed better agreement with actual observations in the calibration curve for the probability of endpoints and the receiver operating characteristic curve. Dichloroacetate and clinical impact curves showed a larger net benefit of the nomogram.

conclusionThe nomogram developed in this study demonstrated superior performance and discriminative power compared to the three traditional classifications. It is easy to use, highly accurate, and shows excellent calibration.

Indexed as

LithiasisLiver DiseasesHumansNomogramsPrognosisReproducibility of ResultsRetrospective StudiesGallstonesModelNomogramPrognosisReoperationRisk factors

Identifiers

PMID35317276
PMCPMC8891727
OpenAlexW4212925543

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.