Evidence map›Paper›PMID 40346923›Full record

Observational studyJournal of clinical laboratory analysis2025

Fluctuations and Changes in Acute Phase Reactive Proteins in Fasting and Nonfasting States.

Ben Huang, Shuxian Miao, Yan Xu, Si-Jie Qiu, Rui-Xia Yang, Hua-Guo Xu

Abstract readObservational Study
In one paragraph

Observational study in Journal of clinical laboratory analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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. Article
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.

Ben HuangDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0002-0372-208X
Shuxian MiaoDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yan XuDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Si-Jie QiuDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Rui-Xia YangDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Hua-Guo XuDepartment of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0001-7170-9445

Funding

National Key Clinical Department of Laboratory Medicine of China in Nanjing ZDXK202239Natural Science Foundation of Jiangsu Province of China BK20181492
6 · The paper itself

Abstract

backgroundIn clinical practice, acute-phase reactive proteins (APRPs) are frequently measured at random times. However, it is unclear whether the use of fasting or nonfasting samples affects results. This study aims to investigate the variations of APRPs between fasting and nonfasting conditions.

methodsThis study was conducted based on the oral glucose tolerance test (OGTT) experiment due to standard energy intake and strict time flow. Fifty subjects were enrolled and underwent a 12-h fasting period before the experiment. Blood samples were collected the following day at baseline (fasting, T0) and 30 (T1), 60 (T2), 120 (T3), 180 (T4) minutes postglucose intake. A total of 250 blood samples were obtained. To quantify clinical fluctuations, percentage bias was calculated, and Bland-Altman plots were employed.

resultsOur observational study demonstrated significant postprandial variations for APRPs. For CRP, 17 (34%) of 50 subjects at T1, 21 (42%) at T2, 23 (46%) at T3, and 16 (32%) at T4 exhibited levels exceeding the maximum allowable error in medical laboratory testing, indicating clinically unacceptable bias. For IL-6, thirty subjects (60%) at T1, 27 (54%) at T2, 28 (56%) at T3, and 32 (64%) at T4 displayed clinically unacceptable fluctuations. Among other APRPs, the maximum number of subjects exceeding acceptable bias thresholds was 28% (14/50) for procalcitonin, 38% (19/50) for transferrin, 34% (17/50) for prealbumin, and 24% (12/50) for ceruloplasmin.

conclusionClinical fluctuations were observed in the levels of APRPs between fasting and nonfasting states. Clinicians should pay attention to the effects of dietary factors on test results.

Indexed as

Acute-Phase ProteinsFastingAdultC-Reactive ProteinFemaleGlucose Tolerance TestHumansMaleMiddle AgedPostprandial PeriodYoung AdultAcute-Phase ProteinsC-Reactive Proteinacute‐phase reactive proteinsfastingglucosenonfastingOGTT

Identifiers

PMID40346923
PMCPMC12179803

What Socratic holds

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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 Socratic graph.