Evidence map›Paper›PMID 37771326›Full record

ArticleWorld journal of diabetes2023

Risk factors of concurrent urinary sepsis in patients with diabetes mellitus comorbid with upper urinary tract calculi.

Jian-Jie Gou, Chao Zhang, Hai-Song Han, Hong-Wei Wu

Open access · diamondAbstract read
In one paragraph

Article in World journal of diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. [Analysis of risk factors and construction of a predictive model for perioperative urosepsis].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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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

4 authors at 1 institution in 1 country.

Jian-Jie GouDepartment of Urology Surgery, People's Hospital of Jincheng, Jincheng 048000, Shanxi Province, China.
Chao ZhangDepartment of Urology Surgery, People's Hospital of Jincheng, Jincheng 048000, Shanxi Province, China.
Hai-Song HanDepartment of Urology Surgery, People's Hospital of Jincheng, Jincheng 048000, Shanxi Province, China.
Hong-Wei WuEmergency Department, People's Hospital of Jincheng, Jincheng 048000, Shanxi Province, China. 13935660657@163.com.
Zoucheng People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary sepsis is frequently seen in patients with diabetes mellitus (DM) complicated with upper urinary tract calculi (UUTCs). Currently, the known risk factors of urinary sepsis are not uniform.

aimTo analyze the risk factors of concurrent urinary sepsis in patients with DM complicated with UUTCs by logistic regression.

methodsWe retrospectively analyzed 384 patients with DM complicated with UUTCs treated in People's Hospital of Jincheng between February 2018 and May 2022. The patients were screened according to the inclusion and exclusion criteria, and 204 patients were enrolled. The patients were assigned to an occurrence group (

resultsGender, age, history of lumbago and abdominal pain, operation time, urine leukocytes (U-LEU) and urine glucose (U-GLU) were independent risk factors for patients with concurrent urinary sepsis (

conclusionSex, age, history of lumbar and abdominal pain, operation time, ULEU and UGLU are independent risk factors for urogenic sepsis in diabetic patients with UUTC.

Indexed as

Concurrent urinary sepsisDiabetes mellitusLogistic regressionRisk factorsRisk prediction modelUpper urinary tract calculiUrinary sepsis

Identifiers

PMID37771326
PMCPMC10523228
OpenAlexW4386717883

What OpenQuestion holds

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LicenceCC BY-NC
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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.