Evidence map›Paper›PMID 32714788›Full record

ArticleJournal of oral biology and craniofacial research

Causal inference and directed acyclic graph: An epidemiological concept much needed for oral submucous fibrosis.

Naman R Rao, Chandramani B More, Rahi M Brahmbhatt, Youbai Chen, Wai-Kit Ming

Abstract read
In one paragraph

Article in Journal of oral biology and craniofacial research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. An Open Path to DAG: Navigating Causal Inference in Epidemiological Research.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

5 authors.

Naman R RaoHarvard Medical School, Harvard University, Boston, MA, USA.
Chandramani B MoreDepartment of Oral Medicine and Radiology, K. M. Shah Dental College and Hospital, Sumandeep Vidyapeeth University, Vadodara, Gujarat, India.
Rahi M BrahmbhattCollege of Liberal Arts and Sciences, University of Illinois at Chicago, USA.
Youbai ChenHarvard Medical School, Harvard University, Boston, MA, USA.
Wai-Kit MingFaculty of Medicine, International School, Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral submucous fibrosis (OSMF), although already established as an oral potentially malignant disorder (OPMD), still stands over a weak bridge because of its controversial pathogenesis. There has been tremendous work on this disease since 1962, surprisingly, we are unsuccessful in finding the exact causation of OSMF. The potential cause for this is either a lack of systematically performed clinical observational studies or over-interpreted inferences of the presented results. Accordingly, the literature is piled with complex data that is being followed by emerging researchers. Hence, this conceptual paper is presented to focus and explain only the epidemiological concepts of causal inference and the construction of DAGs. These concepts will help to encode our subject matter knowledge and assumptions regarding the causal structure problem, classify the source of systematic bias, identify the potential confounders, potential issues in the study design, and guide the data analysis.

Indexed as

Causal directed acyclic graphCausal inferenceMisconceptionOral submucous fibrosis research

Identifiers

PMID32714788
PMCPMC7369332

What OpenQuestion holds

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Registered trials

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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.