Evidence map›Paper›PMID 27848997›Full record

ArticleScientific reports2016

Epidemiology Characteristics, Methodological Assessment and Reporting of Statistical Analysis of Network Meta-Analyses in the Field of Cancer.

Long Ge, Jin-Hui Tian, Xiu-Xia Li, Fujian Song, Lun Li, Jun Zhang, Ge Li, Gai-Qin Pei, Xia Qiu, Ke-Hu Yang

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

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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

10 authors.

Long GeThe First Clinical Medical College of Lanzhou University, Lanzhou 730000, China.
Jin-Hui TianEvidence-based Medicine Center of Lanzhou University, Lanzhou 730000, China.
Xiu-Xia LiEvidence-based Medicine Center of Lanzhou University, Lanzhou 730000, China.
Fujian SongNorwich Medical School, Faculty of Medicine and Health Science, University of East Anglia, Norwich, Norfolk, UK.
Lun LiDepartment of Breast-Thyroid Surgery, The Second Xiangya Hospital of Central South University, Changsha 410000, China.
Jun ZhangSchool of Basic Medical Sciences, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China.
Ge LiSchool of Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.
Gai-Qin PeiThe Second Clinical Medical College of Lanzhou University, Lanzhou 730000, China.
Xia QiuThe Second Clinical Medical College of Lanzhou University, Lanzhou 730000, China.
Ke-Hu YangEvidence-based Medicine Center of Lanzhou University, Lanzhou 730000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of the methodological complexity of network meta-analyses (NMAs), NMAs may be more vulnerable to methodological risks than conventional pair-wise meta-analysis. Our study aims to investigate epidemiology characteristics, conduction of literature search, methodological quality and reporting of statistical analysis process in the field of cancer based on PRISMA extension statement and modified AMSTAR checklist. We identified and included 102 NMAs in the field of cancer. 61 NMAs were conducted using a Bayesian framework. Of them, more than half of NMAs did not report assessment of convergence (60.66%). Inconsistency was assessed in 27.87% of NMAs. Assessment of heterogeneity in traditional meta-analyses was more common (42.62%) than in NMAs (6.56%). Most of NMAs did not report assessment of similarity (86.89%) and did not used GRADE tool to assess quality of evidence (95.08%). 43 NMAs were adjusted indirect comparisons, the methods used were described in 53.49% NMAs. Only 4.65% NMAs described the details of handling of multi group trials and 6.98% described the methods of similarity assessment. The median total AMSTAR-score was 8.00 (IQR: 6.00-8.25). Methodological quality and reporting of statistical analysis did not substantially differ by selected general characteristics. Overall, the quality of NMAs in the field of cancer was generally acceptable.

Indexed as

Biomedical ResearchHumansNeoplasmsNetwork Meta-Analysis as TopicResearch ReportReview Literature as Topic

Identifiers

PMID27848997
PMCPMC5111127

What OpenQuestion holds

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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.