Evidence map›Paper›PMID 35788067›Full record

ArticleBMJ open2022

Impact of time-varying exposure on estimated effects in observational studies using routinely collected data: protocol for a cross-sectional study.

Wen Wang, Mei Liu, Jiayue Xu, Ling Li, Jing Tan, Jeff Jianfei Guo, Kevin Lu, Guowei Li, Xin Sun

Abstract read
In one paragraph

Article in BMJ open, 2022. 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. 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

9 authors.

Wen WangChinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Mei LiuChinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiayue XuChinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ling LiChinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jing TanChinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jeff Jianfei GuoCollege of Pharmacy, University of Cincinnati, Cincinnati, Ohio, USA.
Kevin LuCollege of Pharmacy, University of South Carolina, Columbia, South Carolina, USA.
Guowei LiDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Xin SunChinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China sunxin@wchscu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTime-varying exposure is an important issue that should be addressed in longitudinal observational studies using routinely collected data (RCD) for drug treatment effects. How well investigators designed, analysed and reported time-varying exposure, and to what extent the divergence that can be observed between different methods used for handling time-varying exposure in these studies remains uncertain. We will conduct a cross-sectional study to comprehensively address this question. METHODS AND ANALYSIS: We have developed a comprehensive search strategy to identify all studies exploring drug treatment effects including both effectiveness and safety that used RCD and were published in core journals between 2018 and 2020. We will collect information regarding general study characteristics, data source profile, methods for handling time-varying exposure, results and the interpretation of findings from each eligibility. Paired reviewers will screen and extract data, resolving disagreements through discussion. We will describe the characteristics of included studies, and summarise the method used for handling time-varying exposure in primary analysis and sensitivity analysis. We will also compare the divergence between different approaches for handling time-varying exposure using ratio of risk ratios. ETHICS AND DISSEMINATION: No ethical approval is required because the data we will use do not include individual patient data. Findings will be disseminated through peer-reviewed publications.

Indexed as

Drug TherapyPeer ReviewResearch DesignRoutinely Collected Health DataCross-Sectional StudiesHumansObservational Studies as TopicTime Factorsclinical pharmacologyepidemiologystatistics & research methods

Identifiers

PMID35788067
PMCPMC9255408

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.