Evidence map›Paper›PMID 35348809›Full record

SynthesisPediatric radiology2022

Quantifying the contribution of

Qianrui Li, Rong Tian, Hongxi Wang, Ling Li, Tian Wu, Yan Ren, Minggang Su, Kang Zou, Xin Sun

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Pediatric radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. EANM consensus document on the use of [European journal of nuclear medicine and molecular imaging · 2024
    Article
  2. [American journal of nuclear medicine and molecular imaging · 2024
    Review
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Qianrui LiDepartment of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Rong TianDepartment of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Hongxi WangDepartment of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Ling LiChinese Evidence-Based Medicine Centre, Cochrane China Centre, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, Sichuan, China.
Tian WuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Yan RenChinese Evidence-Based Medicine Centre, Cochrane China Centre, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, Sichuan, China.
Minggang SuDepartment of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Kang ZouChinese Evidence-Based Medicine Centre, Cochrane China Centre, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, Sichuan, China.
Xin SunChinese Evidence-Based Medicine Centre, Cochrane China Centre, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, 610041, Sichuan, China. sunxin@wchscu.cn.
West China Hospital of Sichuan University · CNSichuan University · CNNational Medical Products Administration · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe value of

objectiveTo quantify the contribution of MATERIALS AND

methodsWe searched PubMed, EMBASE and Cochrane Central Register of Controlled Trials up to Feb. 18, 2021. We included studies on patients with pediatric fever of unknown origin presenting sufficient data to calculate the likelihood of achieving definite diagnosis (based on pathology or clinical follow-up) between those with abnormal PET findings versus those with normal PET findings. We assessed the risk of bias using a modified Newcastle-Ottawa quality assessment scale and quantified the value of PET by pooling the likelihood of achieving definite diagnosis using a random-effects model.

resultsWe included 6 studies and found that pediatric patients with abnormal PET findings were about 17 times more likely to achieve definite diagnoses than those with normal PET findings (odds ratio [OR]: 16.75, 95% confidence interval [CI] 8.0-35, P < 0.00001). Sensitivity analyses using a fixed-effect model (OR 16.91, 95% CI 8.1-35, P < 0.0001) or removing one study at a time (OR 12-20, 95% CI lower bound 3.8-8.6, 95% CI upper bound 33-45, P < 0.0001) did not significantly alter the results. Sample size (interaction P = 0.75), imaging modality (interaction P = 0.29), length of follow-up (interaction P = 0.37), fever of unknown origin subclasses (interaction P = 0.89) and geographical areas (interaction P = 0.74) of studies showed no statistically significant influence on the results.

conclusion

Indexed as

Fever of Unknown OriginFluorodeoxyglucose F18AdultChildHumansPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsSensitivity and SpecificityFluorodeoxyglucose F18Radiopharmaceuticals18F-fluorodeoxyglucose positron emission tomographyChildrenFeverFever of unknown originMeta-analysisPediatricsPositron emission tomography

Identifiers

PMID35348809
OpenAlexW4220982700

What OpenQuestion holds

Textmetadata
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.