Evidence map›Paper›PMID 35441868›Full record

ArticleSurgical endoscopy2022

A novel nomogram predicting the risk of postoperative pneumonia for esophageal cancer patients after minimally invasive esophagectomy.

Donghui Jin, Ligong Yuan, Feng Li, Shuaibo Wang, Yousheng Mao

Abstract read
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 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

5 authors at 1 institution in 1 country.

Donghui JinDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Ligong YuanDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Feng LiDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Shuaibo WangDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yousheng MaoDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. youshengmao@gmail.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPneumonia is a common complication after minimally invasive esophagectomy (MIE), which prolongs hospital stay, adding to the cost and increasing the risk to patients' lives. This study aimed to identify risk factors and establish a predictive nomogram for postoperative pneumonia (PP).

methodsThis case control study included 609 patients with esophageal cancer who underwent MIE between March 2015 and August 2019 in Cancer Hospital, Chinese Academy of Medical Sciences. We randomly divided the data into training and validation sets in the ratio of 7:3 and performed univariate and multivariate logistic regression analyses to acquire independent risk factors of the training set. We constructed a nomogram based on the independent risk factors. The concordance index (C-index), receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis (DCA) plots were used to evaluate the discrimination of the nomogram. Validation set was applied to confirm the predictive value of the nomogram.

resultsIn the univariate analysis, age, gender, abdominal procedure method, thoracic operative time, duration of chest tube placement, anastomotic leakage, and recurrent laryngeal nerve palsy were found to be correlated with the incidence of PP. In multivariate analysis, all variables except thoracic operative time were found to be independent risk factors for PP. A nomogram was constructed based on these independent risk factors. The C-index of the training and validation sets was 0.769 and 0.734, respectively, and the areas under the curve (AUC) of ROC curves of the training and validation sets were 0.769 and 0.686, respectively. The calibration plots and DCA plots of the training and validation sets showed the accuracy and predictive value of the nomogram.

conclusionThe nomogram could accurately identify the risk factors for PP. We could predict the occurrence of PP based on this nomogram and take corresponding measures to reduce the incidence of PP.

Indexed as

Esophageal NeoplasmsPneumoniaCase-Control StudiesEsophagectomyHumansNomogramsRetrospective StudiesRisk FactorsEsophageal cancerMinimally invasive esophagectomyNomogramPneumoniaRisk factor

Identifiers

PMID35441868
OpenAlexW4224239037

What OpenQuestion holds

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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 OpenQuestion graph.