Evidence map›Paper›PMID 31140037›Full record

ArticleInflammopharmacology2020

Pitfalls in meta-analysis.

Andriko Palmowski, Sabrina M Nielsen

Abstract readComment
PubMed Publisher
In one paragraph

Article in Inflammopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Andriko PalmowskiDepartment of Rheumatology and Clinical Immunology, Charité, University Medicine Berlin, Charitéplatz 1, 10117, Berlin, Germany. andriko.palmowski@charite.de.ORCID 0000-0002-3456-0597
Sabrina M NielsenMusculoskeletal Statistics Unit, The Parker Institute, Bispebjerg and Frederiksberg Hospital, 2000, Frederiksberg, Denmark.ORCID 0000-0003-2857-2484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systematic reviews with meta-analyses are powerful instruments to synthesize research. If done correctly, they may constitute the highest level of evidence by combining several individual studies. As high-quality evidence is scarce in the field of complementary medicine, meta-analyses of randomized trials may shed new light on both efficacy and safety, but they must be properly conducted. In this commentary to a recently published paper we elaborate on methodological pitfalls in meta-analysis that every researcher should avoid to gain true high-quality evidence.

Indexed as

Meta-Analysis as TopicEvidence synthesisMeta-analysisMethodologySystematic review

Identifiers

What OpenQuestion holds

Textmetadata
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.