Evidence map›Paper›PMID 37829654›Full record

ArticleCureus2023

Predictive Rule for Mortality of Inpatients With Escherichia coli Bacteremia: Chi-Square Automatic Interaction Detector Decision Tree Analysis Model.

Yudai Nakanishi, Sayato Fukui, Akihiro Inui, Daiki Kobayashi, Mizue Saita, Toshio Naito

Open access · diamondAbstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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.

Yudai NakanishiDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, JPN.
Sayato FukuiDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, JPN.
Akihiro InuiDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, JPN.
Daiki KobayashiDepartment of General Internal Medicine, Tokyo Medical University Ibaraki Medical Center, Inashiki, JPN.
Mizue SaitaDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, JPN.
Toshio NaitoDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, JPN.
Juntendo University · JPTokyo Medical University Ibaraki Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimA predictive rule for risk factors for mortality due to

methodsThe outcome of this retrospective cross-sectional survey was death in the hospital due to

resultsA total of 420 patients (male:female=196:224; mean±standard deviation [SD] age, 75.81±13.13 years) were included in this study. 56 patients (13.3%) died in the hospital. The CHAID decision tree analysis revealed that patients with total protein level ≤5.10 g/dL (incidence, 46.2%), total protein level ≤5.90 g/dL with disturbance of consciousness (incidence, 39.4%), and total protein level >5.90 g/dL with hemoglobin level ≤11.10 g/dL and lactate dehydrogenase level ≥312.0 IU/L (incidence, 42.3%) were included in the high-risk group.

conclusionsAppropriate preventative therapy should be facilitated in patients with

Indexed as

chaid analysisescherichia coliextended-spectrum β-lactamase (esbl)predictive rulerisk factors

Identifiers

PMID37829654
PMCPMC10565518
OpenAlexW4387486197

What OpenQuestion holds

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LicenceCC BY
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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.