Evidence map›Paper›PMID 39700205›Full record

ArticlePLOS global public health2024

Evaluation of inflammation adjustment methods to assess iron deficiency using longitudinal data from norovirus human challenge trials.

Yi-An Ko, Parminder S Suchdev, Jiaxi Geng, Hanqi Luo, Melissa F Young, Anne M Williams

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

6 authors.

Yi-An KoDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0000-0002-6543-9765
Parminder S SuchdevDepartment of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0000-0002-0350-3469
Jiaxi GengDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Hanqi LuoDepartment of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0000-0001-6253-5818
Melissa F YoungDepartment of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Anne M WilliamsDepartment of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accounting for inflammation is necessary to assess iron deficiency using ferritin. A limitation of existing inflammation-adjustment methods is reliance on cross-sectional data to evaluate method performance. The study objective was to evaluate three inflammation-adjustment methods using longitudinal data from two controlled trials where apparently healthy adults (n = 52) were exposed to norovirus. Correction factors (CF), the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) regression correction (BRC), and restricted cubic splines (RCS) were used to adjust the influence of inflammation on ferritin using alpha-1-acid glycoprotein (AGP) and/or C-reactive protein (CRP). Blood was collected at baseline (day 0, pre-exposure to norovirus) and at 9 time points post-exposure (days 1, 2, 3, 4, 7, 14, 21, 28, and 35). Inflammation-adjusted ferritin concentrations were compared with 1) baseline, 2) endline, 3) the average of baseline and endline, and 4) predicted ferritin concentrations among subjects with infection, expressed as percent difference. The predicted ferritin concentrations were modeled using data from 26 subjects without infection in a linear mixed model. Adjusting for CRP or AGP, the median differences between adjusted ferritin using CF, BRC, and RCS were respectively [0.2%, 2.5%], [-22.2%, -20.8%], [-16.7%, -7.1%] compared with the average of baseline and endline values and were 0%, [-16.8%, -18.5%], [-8.9%, -2.8%] compared with predicted ferritin concentrations. For BRC, adjusting for both CRP and AGP tended to result in more over-adjustment of ferritin compared to using a single inflammatory protein. The BRC appeared to overcorrect ferritin in this study setting, while the CF yielded adjusted ferritin concentrations closer to the average baseline and endline concentrations and the predicted concentrations. Longitudinal studies with larger sample sizes exposed to other infectious agents are needed to further evaluate inflammation-adjustment methods and the need for including multiple inflammation biomarkers.

Identifiers

PMID39700205
PMCPMC11658468

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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.