Evidence map›Paper›PMID 29245297›Full record

SynthesisMedicine2017

Association between tea consumption and osteoporosis: A meta-analysis.

Kang Sun, Le Wang, Qingping Ma, Qiaoyun Cui, Qianru Lv, Wenzheng Zhang, Xinghui Li

Abstract readMeta-Analysis
In one paragraph

Synthesis in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
–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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  8. Review
  9. Review
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  11. Innovative Application of Chicken Eggshell Calcium to Improve the Functional Value of Gingerbread.International journal of environmental research and public health · 2022
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  12. Article
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  17. Associated Factors for Osteoporosis and Fracture in Chinese Elderly.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  18. Review
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

7 authors.

Kang SunTea Research Institute, Nanjing Agricultural University, Nanjing, P. R. China Center of Cell Biology and Cancer Research, Albany Medical College, Albany, NY.
Le Wang
Qingping Ma
Qiaoyun Cui
Qianru Lv
Wenzheng Zhang
Xinghui Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious reports have suggested a potential association of tea consumption with the risk of osteoporosis. As such association is controversial, we conducted a meta-analysis to assess the relationship between tea consumption and osteoporosis. METHODS AND

findingsWe systematically searched PubMed, EMBASE and WanFang databases until March 30, 2016, using the keywords "tea and osteoporosis," without limits of language. Odds ratios (ORs) with 95% confidence intervals (95% CIs) were derived by using random-effects models throughout the analyses. We conducted the analysis of the statistical heterogeneity using Cochrane I. The funnel plot was used to speculate the publication bias, while the subgroup analysis and multiround elimination method were employed.

resultsOur study was based on 17 journal articles, including 2 prospective cohort studies, 4 case-control studies, and 11 cross-sectional studies. In the present study, the total OR of osteoporosis for the highest versus the lowest categories of tea consumption was 0.62 (95% CI, 0.46-0.83), with significant heterogeneity among studies (I = 94%, P < .01). There was, however, no publication bias of the meta-analysis about tea consumption and osteoporosis. Subgroup analysis showed that tea consumption could reduce the risk of osteoporosis in all examined subgroups.

conclusionIn the present study, it can be concluded from the results that tea consumption can reduce the risk of osteoporosis.

Indexed as

AgedAged, 80 and overCase-Control StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedOdds RatioOsteoporosisProspective StudiesRisk FactorsTeaTea

Identifiers

PMID29245297
PMCPMC5728912

What OpenQuestion holds

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Registered trials

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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.