Evidence map›Paper›PMID 26848197›Full record

ReviewColombia medica (Cali, Colombia)2015

Weaknesses in the reporting of cross-sectional studies according to the STROBE statement: the case of metabolic syndrome in adults from Peru.

Jose Carlos Tapia, Eloy F Ruiz, Oscar J Ponce, German Malaga, Jaime Miranda

Abstract readReview
In one paragraph

Review in Colombia medica (Cali, Colombia), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

5 authors.

Jose Carlos Tapia *Facultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia Lima, Peru.
Eloy F Ruiz *Facultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia Lima, Peru.
Oscar J Ponce *Facultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia Lima, Peru.
German MalagaFacultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia Lima, Peru.
Jaime MirandaFacultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia Lima, Peru.

Funding

NHLBI NIH HHS HHSN268200900033C
6 · The paper itself

Abstract

introductionThe inadequate reporting of cross-sectional studies, as in the case of the prevalence of metabolic syndrome, could cause problems in the synthesis of new evidence and lead to errors in the formulation of public policies.

objectiveTo evaluate the reporting quality of the articles regarding metabolic syndrome prevalence in Peruvian adults using the STROBE recommendations.

methodsWe conducted a thorough literature search with the terms "Metabolic Syndrome", "Sindrome Metabolico" and "Peru" in MEDLINE/PubMed, LILACS, SciELO, LIPECS and BVS-Peru until December 2014. We selected those who were population-based observational studies with randomized sampling that reported prevalence of metabolic syndrome in adults aged 18 or more of both sexes. Information was analysed through the STROBE score per item and recommendation.

resultsSeventeen articles were included in this study. All articles met the recommendations related to the report of the study's rationale, design, and provision of summary measures. The recommendations with the lowest scores were those related to the sensitivity analysis (8%, n= 1/17), participant flowchart (18%, n= 3/17), missing data analysis (24%, n= 4/17), and number of participants in each study phase (24%, n= 4/17).

conclusionCross-sectional studies regarding the prevalence of metabolic syndrome in peruvian adults have an inadequate reporting on the methods and results sections. We identified a clear need to improve the quality of such studies.

Indexed as

AdultCross-Sectional StudiesGuidelines as TopicHumansMetabolic SyndromeObservational Studies as TopicPeruPrevalenceSensitivity and SpecificityadultepidemiologyMetabolic syndromePeruprevalence

Identifiers

PMID26848197
PMCPMC4732506

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