Evidence map›Paper›PMID 39664790›Full record

ArticleSystem dynamics review2023

Strengthening a Weak Link: Transparency of Causal Loop Diagrams, Current State and Recommendation.

Mohammad S Jalali, Elizabeth Beaulieu

Abstract read
In one paragraph

Article in System dynamics review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Causal Loop Diagrams of Food Systems, Diet, and Obesity: A Scoping Review of Methods, Contextual Factors, and Outcomes.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Article
  4. 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.

Mohammad S JalaliHarvard Medical School, Boston, MA.
Elizabeth BeaulieuHarvard Medical School, Boston, MA.

Funding

NCIPC CDC HHS R01 CE003358
6 · The paper itself

Abstract

Transparency is a critical aspect of systems science. While transparency of quantitative models has been assessed, transparency of their qualitative structures has been less scrutinized. We assess the transparency of causal loop diagrams (CLDs), a key qualitative visualization tool in system dynamics. We evaluate

Indexed as

causal loop diagramtransparency assessmenttransparency recommendations

Identifiers

PMID39664790
PMCPMC11633294

What OpenQuestion holds

Textmetadata
LicenceTDM
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.