Evidence map›Paper›PMID 28808976›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2017

Epidemiological Methods.

Biao Wang, Mark Loeb

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Biao WangDepartment of Pathology and Molecular Medicine, McMaster University, MDCL 3200, 1280 Main St. W, Hamilton, ON, Canada, L8S 4K1.
Mark LoebDepartment of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada. loebm@mcmaster.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter provides an overview of the most common epidemiological designs used in clinical studies to better understand innate anti-viral immunity. Studies to assess risk factors as well as interventions are described.

Indexed as

Epidemiological MonitoringImmunity, InnateAnimalsHumansVirus DiseasesCase control studyCohort studyCross sectional studyRandomized controlled trial

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.