Evidence map›Paper›PMID 33822186›Full record

SynthesisNutrition reviews2022

A meta-analysis of studies examining associations between resonance Raman spectroscopy-assessed skin carotenoids and plasma carotenoids among adults and children.

Stephanie B Jilcott Pitts, Nevin S Johnson, Qiang Wu, Gina C Firnhaber, Archana Preet Kaur, Justice Obasohan

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Nutrition reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  6. Recent advances in carotenoid absorption, distribution, and elimination.Biochimica et biophysica acta. Molecular and cell biology of lipids · 2025
    Review
  7. Acceptability ofPreventive medicine reports · 2025
    Article
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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 at 2 institutions in 1 country.

Stephanie B Jilcott PittsDepartment of Public Health, Brody School of Medicine, East Carolina University, Greenville, North Carolina, USA.ORCID 0000-0001-8838-638X
Nevin S JohnsonDepartment of Public Health, Brody School of Medicine, East Carolina University, Greenville, North Carolina, USA.
Qiang WuDepartment of Biostatistics, East Carolina University, East Carolina Heart Institute, Greenville, North Carolina, USA.
Gina C FirnhaberNurse Anesthesia Program, East Carolina University College of Nursing, Greenville, North Carolina, USA.
Archana Preet KaurDepartment of Public Health, Brody School of Medicine, East Carolina University, Greenville, North Carolina, USA.
Justice ObasohanNational Human Genome Research Institute, National Institutes of Health, 10 Center Drive, Bethesda, Maryland, USA.
East Carolina University · USNational Institutes of Health · US

Funding

Examining Validity and Sensitivity of Pressure-Mediated Reflection Spectroscopy as a measure of fruit and vegetable consumption in a diverse communityR01HL142544 · NHLBI · EAST CAROLINA UNIVERSITY · PI PITTS, STEPHANIE BELL JILCOTT · 2019 to 2022
$2.6M
NHLBI NIH HHS R01 HL142544
6 · The paper itself

Abstract

contextNo meta-analyses appeared to have been conducted to examine overall correlations between resonance Raman spectroscopy (RRS)-assessed skin carotenoids and plasma/serum carotenoids.

objectiveTo review the available literature and quantify the association between RRS-assessed skin carotenoids and plasma/serum carotenoids via a meta-analysis of observational studies. DATA SOURCES: To identify relevant publications, we searched the PubMed, Embase, CINAHL, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, ProQuest, and Scopus databases in April 2020 for items combining 3 concepts: Raman spectroscopy, skin, and plasma or serum. DATA EXTRACTION: Criteria for inclusion were publication in a peer-reviewed journal between 1990 and 2020, available in English language, and results reported as a baseline Pearson correlation coefficient. In teams of 2, the researchers independently reviewed titles and abstracts of 2212 nonduplicate papers with initial screening yielding 62 papers for full-text review, of which 15 were deemed eligible for inclusion. DATA ANALYSIS: A random-effects model in R (version 4.0.0) "meta" package was used to analyze the correlation between RRS-assessed skin and plasma/serum carotenoids. A subgroup analysis was conducted for studies involving adults and children, respectively.

conclusionsThe 15 studies included 1155 individuals: 963 adults and 192 children. One study included children and adults. The random-effects model yielded an overall correlation of 0.68 (95%CI, 0.61-0.74; I2 = 74%; P < 0.01). The results were similar when grouped by adults and children. Among 963 adults, the correlation in the random-effects model was 0.69 (95%CI, 0.61-0.75; I2 = 78%; P < 0.01). Among 192 children, the correlation in the random-effects model was 0.66 (95%CI, 0.52- 0.77; I2 = 55%; P = 0.06). Overall, there was a positive, statistically significant correlation between RRS-assessed skin carotenoids and plasma/serum carotenoids in a pooled meta-analysis of 15 studies. SYSTEMATIC REVIEW REGISTRATION: PROSPERO (record number 178835).

Indexed as

CarotenoidsSpectrum Analysis, RamanAdultChildFruitHumansSystematic Reviews as TopicVegetablesCarotenoidsfruit and vegetable intakeplasma carotenoidsresonance Raman spectroscopyserum carotenoidsskin carotenoidsvalidation

Identifiers

PMID33822186
PMCPMC8754254
OpenAlexW3140217016

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.