Evidence map›Paper›PMID 33284898›Full record

ArticleInternational journal of clinical and experimental pathology2020

A novel comprehensive predictive model for obstructive pyonephrosis patients with upper urinary tract stones.

Xinguang Wang, Kun Tang, Ding Xia, Ejun Peng, Rui Li, Hailang Liu, Zhiqiang Chen

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 8 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

7 authors at 2 institutions in 1 country.

Xinguang WangDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430030, Hubei, China.
Kun TangDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430030, Hubei, China.
Ding XiaDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430030, Hubei, China.
Ejun PengDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430030, Hubei, China.
Rui LiDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430030, Hubei, China.
Hailang LiuDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430030, Hubei, China.
Zhiqiang ChenDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430030, Hubei, China.
Tongji Hospital · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCalculous pyonephrosis tended not to be accurately diagnosed before operations. It is mostly confirmed during percutaneous nephrolithotripsy or percutaneous nephrostomy. We aimed to evaluate the risk factors for predicting obstructive pyonephrosis patients with upper urinary tract stones.

methodsClinical data of 322 patients with upper urinary tract stones and obstructive hydronephrosis were retrospectively searched and analyzed in our study. The patients were divided into two groups; pyonephrosis and non-pyonephrosis groups. Both disease related factors and infection-associated indicators were analyzed. Univariate and multivariate logistic analyses were performed on preoperative variables. Accordingly, ROC curves were drawn, and a novel comprehensive model was constructed to predict the pyonephrosis. OUTCOMES: Compared to the non-pyonephrosis group, patients in the pyonephrosis group showed statistical differences in sex, urinary tract infection (UTI) within 3 months, stone density, computerized tomography (CT) value of hydronephrosis, serum creatinine, hydronephrosis, contralateral kidney severe hydronephrosis or atrophy, preoperative white blood cells, neutrophils, serum C-reactive protein, urine leukocyte, nitrite, and urine culture revealed statistical difference (

conclusionsHydronephrosis, CT value of hydronephrosis, blood neutrophils, urine leukocyte, and urine culture were independent risk factors to predict pyonephrosis. The novel comprehensive model was found to be an effective method to predict pyonephrosis and needed to be further confirmed in prospective studies.

Indexed as

Calculous pyonephrosishydronephrosispredictrisk factors

Identifiers

PMID33284898
PMCPMC7716127
OpenAlexW3111585079

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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.