Evidence map›Paper›PMID 34368597›Full record

ArticleBiostatistics & epidemiology2021

The importance of having a conceptual stage when reporting non-randomized studies.

M-A C Bind, D B Rubin

Abstract read
In one paragraph

Article in Biostatistics & epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

M-A C BindBiostatistics Center, Massachusetts General Hospital, Boston, MA, USA.
D B RubinYau Center for Mathematical Sciences, Tsinghua University, Beijing, China.

Funding

Transporting established insights from classical experimental design to address causal questions in environmental epidemiology including the understanding of biological mediating mechanismsDP5OD021412 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI BIND, MARIE-ABELE CATHERINE · 2016 to 2020
$2.1M
Statistical Designs and Methods for Double-Sampling for HIV/AIDSR01AI102710 · NIAID · JOHNS HOPKINS UNIVERSITY · PI FRANGAKIS, CONSTANTINE E · 2013 to 2016
$1.6M
NIAID NIH HHS R01 AI102710NIH HHS DP5 OD021412
6 · The paper itself

Abstract

Formal guidelines for statistical reporting of non-randomized studies are important for journals that publish results of such studies. Although it is gratifying to see some journals providing guidelines for statistical reporting, we feel that the current guidelines that we have seen are not entirely adequate when the study is used to draw causal conclusions. We therefore offer some comments on ways to improve these studies. In particular, we discuss and illustrate what we regard as the need for an essential initial stage of any such statistical analysis, the

Identifiers

PMID34368597
PMCPMC8340913

What OpenQuestion holds

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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.