Evidence map›Paper›PMID 36353585›Full record

ArticleGland surgery2022

Developing and validating a nomogram to predict myasthenia gravis exacerbation in patients with postoperative thymoma recurrence.

Biqi Cheng, Yinping Xue, Shanshan Gu, Hongxia Yang, Peng Liu, Guoyan Qi

Open access · diamondAbstract read
In one paragraph

Article in Gland surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 4 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

6 authors at 2 institutions in 1 country.

Biqi Cheng *Center of Treatment of Myasthenia Gravis, People's Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Yinping Xue *Center of Treatment of Myasthenia Gravis, People's Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Shanshan GuCenter of Treatment of Myasthenia Gravis, People's Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Hongxia YangCenter of Treatment of Myasthenia Gravis, People's Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Peng LiuCenter of Treatment of Myasthenia Gravis, People's Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Guoyan QiCenter of Treatment of Myasthenia Gravis, People's Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
First Hospital of Shijiazhuang · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Myasthenia gravis (MG) is one of the most common accessory syndromes for thymoma patients. To reduce MG exacerbation and guide clinical practice, we developed a nomogram for predicting MG exacerbation in patients with postoperative thymoma recurrence. Methods: Retrospective study of 176 patients with recurrence following thymoma resection who were admitted to the People's Hospital of Shijiazhuang's Center of Treatment of Myasthenia Gravis between 2013 and 2021. Among them, 120 patients with recurrent thymoma from 2013 to 2020 were selected as the training cohort, and 56 patients in 2021 as the validation cohort. Univariate and multivariate logical regression was used to determine the risk factors and draw the nomogram, and the parameters in the nomogram were proportionally assigned from 0 to 100 points. Finally, the performance of the model is evaluated by internal inspection and external inspection. Results: Multivariate analysis revealed that postoperative treatment plan and the pathologic classification of the thymoma were independent predictors of MG exacerbation in the training cohort (n=120), so they were used to create the nomogram, which had a well-fit calibration curve and good concordance index of 0.77 [95% confidence interval (CI): 0.69-0.86] for the training cohort and 0.74 (95% CI: 0.58-0.91) for the validation cohort, respectively. Calculations were made to determine the nomogram's sensitivity, specificity, positive predictive values (PPV) and negative predictive values (NPV). The training cohort were 75.7% (95% CI: 66.1-83.4%), 64.7% (95% CI: 38.6-84.7%), 92.9% (95% CI: 84.5-97.1%) and 30.6% (95% CI: 16.9-48.3%) respectively, while the corresponding validation cohort were 84.1% (95% CI: 69.3-92.8%), 66.7% (95% CI: 35.4-88.7%), 90.2% (95% CI: 75.9-96.8%) and 53.3% (95% CI: 27.4-77.7%) respectively. Conclusions: We identified the risk factors for MG exacerbation in patients with postoperative recurrence of thymoma and drew a nomogram, which can be used to calculate the probability of MG exacerbation and guide clinicians to choose post-operative treatment.

Indexed as

Exacerbationmyasthenia gravis (MG)prediction modelrecurrencethymoma

Identifiers

PMID36353585
PMCPMC9638789
OpenAlexW4307558948

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.