Participant selection algorithm.

Participant selection algorithm.

<div><p>Background</p><p>C-reactive protein (CRP) is a biomarker of inflammation used in diagnosis of inflammatory diseases and to guide treatment decisions. Variation in within-individual measured CRP may affect its clinical utility but estimates of within-individual variati...

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Detaylı Bibliyografya
Yazar:	Alex Gough (16734033) (author)
Diğer Yazarlar:	Alice Sitch (396379) (author), Tom Marshall (154542) (author)
Baskı/Yayın Bilgisi:	2025
Konular:	Biochemistry Biotechnology Evolutionary Biology Immunology Cancer Mental Health Infectious Diseases severe disease status guide treatment decisions comorbidity covariates extracted xlink "> 472 retrospective cohort study patient median crp median reported cv xlink "> c performed using data individual measured variation xlink "> previously reported world data limited data crp data world nature whole population variation increases short half reactive protein primary care previous studies largest study large number inflammatory diseases inflammation used individual variation inclusion criterion important implications dexter tool database using cv increased clinical utility clinical decision approximately five acute illness 606 ).
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Benzer Materyaller

Sociodemographic data and main univariable subgroup analyses. Other ethnicities includes all ethnicities not categorised as black, mixed, south Asian or white.
Yazar:: Alex Gough (16734033)
Baskı/Yayın Bilgisi: (2025)

Variables extracted from database.
Yazar:: Alex Gough (16734033)
Baskı/Yayın Bilgisi: (2025)

Probability of second result being 10 mg/L different than first result.
Yazar:: Alex Gough (16734033)
Baskı/Yayın Bilgisi: (2025)

Coefficient of variation by patient median CRP (mg/L) with 95% confidence intervals.
Yazar:: Alex Gough (16734033)
Baskı/Yayın Bilgisi: (2025)

Heat map showing the coefficient of variation for multivariable analysis according to median CRP result, sex, age, ethnicity, deprivation and BMI.
Yazar:: Alex Gough (16734033)
Baskı/Yayın Bilgisi: (2025)

Time-to-onset analysis using the Weibull distribution test.
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Signal strength of ADE at the drug level ranked by reports.
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Characteristics of AEs reports.
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Baskı/Yayın Bilgisi: (2025)

The principles of disproportionate measurement and the criteria for signal detection.
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Baskı/Yayın Bilgisi: (2025)

Two-by-two contingency table for disproportionality analysis.
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Baskı/Yayın Bilgisi: (2025)

Gender Difference analysis of the top 50 drugs ranked by frequency by four methods (ROR PRR IC MGPS).
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Outcomes distribution of drug patients with the top 50 positive signal frequency by 4 methods (ROR PRR IC MGPS).
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Baskı/Yayın Bilgisi: (2025)

Top 50 drugs sorted by frequency of positive signals stratified by reporter – by 4 methods (ROR PRR IC MGPS).
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Baskı/Yayın Bilgisi: (2025)

The top 25 drugs sorted by frequency of positive signals stratified by age – by 4 methods (ROR PRR IC MGPS).
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Baskı/Yayın Bilgisi: (2025)

The top 50 drugs by frequency of positive signals stratified by sex – by 4 methods (ROR PRR IC MGPS).
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Top 50 Drugs with positive signals by frequency – by four methods (ROR PRR IC MGPS).
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Flowchart.
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Two-by-two contingency tables displaying the frequency of preferred upper extremity for writing, throwing, and hand grip strength tasks (n = 34).
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Raw anonymized data underlying the findings described in this manuscript.
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Comparison of different methods for determining the amylose content.
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Comparison and analysis of precision between two methods.
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Precision analysis of the SSDM.
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Baskı/Yayın Bilgisi: (2025)

Stability analysis of SSDM under different digestion times.
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Correlation analysis between two methods for measuring AAC.
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The standard curves by the methods of SDM (<i>P </i> = 0.0036) and SSDM (<i>P</i> < 0.001).
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Iodine absorption spectrum of rice starch.
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Method schematic.
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Descriptive statistical analysis of SSDM.
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Baskı/Yayın Bilgisi: (2025)

Measure the AAC of two methods.
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Baskı/Yayın Bilgisi: (2025)

The data for the standard curves.
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Baskı/Yayın Bilgisi: (2025)

The data for iodine absorption spectrum.
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Baskı/Yayın Bilgisi: (2025)

Leading researchers: aggregate ranking 2 (Category 2).
Yazar:: Gerhard Reichmann (17972544)
Baskı/Yayın Bilgisi: (2025)

Leading researchers: aggregate ranking 1 (Categories 1 and 2).
Yazar:: Gerhard Reichmann (17972544)
Baskı/Yayın Bilgisi: (2025)

Leading researchers: individual rankings V1-V10.
Yazar:: Gerhard Reichmann (17972544)
Baskı/Yayın Bilgisi: (2025)

Ranking variants of our study.
Yazar:: Gerhard Reichmann (17972544)
Baskı/Yayın Bilgisi: (2025)

Synthesized gaps from prior works.
Yazar:: Gerhard Reichmann (17972544)
Baskı/Yayın Bilgisi: (2025)

Ranking studies retrieved from a search outside the WoS (n = 4)*.
Yazar:: Gerhard Reichmann (17972544)
Baskı/Yayın Bilgisi: (2025)

Ranking studies retrieved from a WoS search (n = 46)).
Yazar:: Gerhard Reichmann (17972544)
Baskı/Yayın Bilgisi: (2025)

Research attributes of leading vs. non-leading researchers: aggregate ranking (Category 2).
Yazar:: Gerhard Reichmann (17972544)
Baskı/Yayın Bilgisi: (2025)

Performance advantage of leading researchers compared to non-leading researchers (Mean values for leading researchers).
Yazar:: Gerhard Reichmann (17972544)
Baskı/Yayın Bilgisi: (2025)

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