Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 227

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Age- and sex-related variations in platelet count in Italy: a proposal of reference ranges based on 40987 subjects’ data

Biino, Ginevra, Santimone, Iolanda, Minelli, Cosetta, Sorice, Rossella, Frongia, Bruno, Traglia, Michela, Ulivi, Sheila, Di Castelnuovo, Augusto, Gögele, Martin, Nutile, Teresa, Francavilla, Marcella, Sala, Cinzia, Pirastu, Nicola, Cerletti, Chiara, Iacoviello, Licia, Gasparini, Paolo, Toniolo, Daniela, Ciullo, Marina, Pramstaller, Peter, Pirastu, Mario, de Gaetano, Giovanni, Balduini, Carlo L.·2013·PLoS ONE

Abstract

BACKGROUND AND OBJECTIVES: Although several studies demonstrated that platelet count is higher in women, decreases with age, and is influenced by genetic background, most clinical laboratories still use the reference interval 150-400×10(9) platelets/L for all subjects. The present study was to identify age- and sex-specific reference intervals for platelet count. METHODS: We analysed electronic records of subjects enrolled in three population-based studies that investigated inhabitants of seven Italian areas including six geographic isolates. After exclusion of patients with malignancies, liver diseases, or inherited thrombocytopenias, which could affect platelet count, reference intervals were estimated from 40,987 subjects with the non parametric method computing the 2.5° and 97.5° percentiles. RESULTS: Platelet count was similar in men and women until the age of 14, but subsequently women had steadily more platelets than men. The number of platelets decreases quickly in childhood, stabilizes in adulthood, and further decreases in oldness. The final result of this phenomenon is that platelet count in old age was reduced by 35% in men and by 25% in women compared with early infancy. Based on these findings, we estimated reference intervals for platelet count ×10(9)/L in children (176-452), adult men (141-362), adult women (156-405), old men (122-350) and, old women (140-379). Moreover, we calculated an "extended" reference interval that takes into account the differences in platelet count observed in different geographic areas. CONCLUSIONS: The age-, sex-, and origin-related variability of platelet count is very wide, and the patient-adapted reference intervals we propose change the thresholds for diagnosing both thrombocytopenia and thrombocytosis in Italy.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0054289

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Platelet count densities by population. Each line represents the platelet count distribution of a population; Ogliastra villages have been clustered in three groups following their genotype and phenotype characteristics. Vertical lines represent the reference intervals currently in use.
Figure 1 Platelet count densities by population. Each line represents the platelet count distribution of a population; Ogliastra villages have been clustered in three groups following their genotype and phenotype characteristics. Vertical lines represent the reference intervals currently in use.CC BY · PubMed Central
Figure 2 Platelet count by age in the examined populations.
Figure 2 Platelet count by age in the examined populations.CC BY · PubMed Central
Figure 3 Platelet count by age and population. Lines represent age trend of platelet count in the investigated populations.
Figure 3 Platelet count by age and population. Lines represent age trend of platelet count in the investigated populations.CC BY · PubMed Central
Figure 4 Mean platelet count in the nine sub-populations along with 95% CI. Estimates have been obtained by ANOVA adjusting for age and sex. Three strata may be obtained grouping sub-populations according to their mean platelet counts, as evidenced by black circles: Low (Carlantino and North Ogliastra), Medium (Borbera valley, FVG, Others Ogliastra, Cilento and, Molise) and, High (South Tyrol and West Ogliastra).
Figure 4 Mean platelet count in the nine sub-populations along with 95% CI. Estimates have been obtained by ANOVA adjusting for age and sex. Three strata may be obtained grouping sub-populations according to their mean platelet counts, as evidenced by black circles: Low (Carlantino and North Ogliastra), Medium (Borbera valley, FVG, Others Ogliastra, Cilento and, Molise) and, High (South Tyrol and West Ogliastra).CC BY · PubMed Central
Figure 5 Platelet counts' reference intervals for clinical practice. Numbers inside bars represent reference intervals estimated on the overall sample; numbers outside bars represent extended reference intervals estimated stratifying by geographical area.
Figure 5 Platelet counts' reference intervals for clinical practice. Numbers inside bars represent reference intervals estimated on the overall sample; numbers outside bars represent extended reference intervals estimated stratifying by geographical area.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 1

  1. Dacie JV, Lewis SM (1991) Practical Haematology, Seventh Edition. London: Churchill Livingstone. 668 p.

Cited by

See all 227

Metadata

Authors
Biino, G., Santimone, I., Minelli, C., Sorice, R., Frongia, B., Traglia, M., Ulivi, S., Di Castelnuovo, A., Gögele, M., Nutile, T., Francavilla, M., Sala, C., Pirastu, N., Cerletti, C., Iacoviello, L., Gasparini, P., Toniolo, D., Ciullo, M., Pramstaller, P., Pirastu, M., de Gaetano, G., & Balduini, C. L.
Venue
PLoS ONE
Published
2013-01-31
Volume
8
Issue
1
Pages
e54289
ISSN
1932-6203
Cited by
227
References
34
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.