Evidence map›Paper›PMID 36337930›Full record

ArticleInfection and drug resistance2022

A Lung Ultrasound-Based Nomogram for the Prediction of Refractory

Gangtie Liu, Guanglei Wang, Zhan Yang, Guangfu Liu, Haijun Ma, Yong Lv, Feiyan Ma, Weiwei Zhu

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Prediction models for refractoryFrontiers in pediatrics · 2026
    Article
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  9. Article
  10. Biomarkers associated with the diagnosis and prognosis ofFrontiers in cellular and infection microbiology · 2025
    Review
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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

8 authors at 2 institutions in 1 country.

Gangtie LiuDepartment of Pediatrics, Jinan Central Hospital, Shandong University, Jinan, People's Republic of China.
Guanglei WangDepartment of Pediatrics, Taian Maternity and Child Health Care Hospital, Taian, People's Republic of China.
Zhan YangDepartment of Pediatrics, Taian Maternity and Child Health Care Hospital, Taian, People's Republic of China.
Guangfu LiuDepartment of Radiology, Taian Maternity and Child Health Care Hospital, Taian, People's Republic of China.
Haijun MaDepartment of Radiology, Taian Maternity and Child Health Care Hospital, Taian, People's Republic of China.
Yong LvDepartment of Pediatrics, Taian Maternity and Child Health Care Hospital, Taian, People's Republic of China.
Feiyan MaDepartment of Pediatrics, Taian Maternity and Child Health Care Hospital, Taian, People's Republic of China.
Weiwei ZhuDepartment of Pediatrics, Jinan Central Hospital, Shandong University, Jinan, People's Republic of China.ORCID 0000-0003-4397-3075
Taiyuan Maternity and Child Care Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Early diagnosis of Patients and Methods: We retrospectively analyzed 225 children with Results: Ultimately, Consolidation size /BSA (odds ratio (OR) 1.015, 95% confidence interval (CI) 1.536-2.446), Pleural Effusion (OR 3.551, 95% CI 1.921-15.600), LDH (OR 1.044, 95% CI 1.006-1. 021) and CRP (OR 3.293, 95% CI 1.019-1.098) were independent risk factors for the development of RMPP. The prediction model was represented visually as a nomogram. The area under the ROC curve for the predictive nomogram was 0.955 (95% CI 0.919-0.978) in the training cohort and 0.916 (95% CI 0.838-0.964) in the validation cohort. The calibration curve is close to the diagonal. Conclusion: This is the first-time lung ultrasound was added to the predicted nomogram, which can more comprehensively assess the condition and more accurately predict the occurrence of RMPP early. Therefore, this nomogram can be widely used in the early diagnosis of RMPP, especially in primary care hospitals.

Indexed as

diagnosisMycoplasma pneumoniae pneumoniapredictive modelrisk factors

Identifiers

PMID36337930
PMCPMC9635389
OpenAlexW4307881350

What OpenQuestion holds

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LicenceCC BY-NC
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.