Evidence map›Paper›PMID 32623620›Full record

ArticleEuropean journal of epidemiology2020

Counterfactual prediction is not only for causal inference.

Barbra A Dickerman, Miguel A Hernán

Abstract read
In one paragraph

Article in European journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Pooled it
  2. Towards causal inference-based antidepressant selection with brain and blood biomarkers.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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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.

Barbra A DickermanDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. bad788@mail.harvard.edu.
Miguel A HernánDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Randomized controlled trial of enhanced coordinated specialty care (CSC 2.0)P50MH115846 · NIMH · MCLEAN HOSPITAL · PI Dost Ongur · 2019 to 2026
$16.9M
Dynamic Strategies for the clinical management of HIV diseaseR37AI102634 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI MIGUEL HERNAN · 2018 to 2026
$5.3M
Identifying optimal dynamic strategies for prostate cancer controlK99CA248335 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI DICKERMAN, BARBRA ANNE · 2020 to 2021
$248k
NCI NIH HHS K99 CA248335NIAID NIH HHS R37 AI102634NIMH NIH HHS P50 MH115846
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Clinical Decision RulesConfounding Factors, EpidemiologicEpidemiologic Research DesignDecision MakingHumansModels, Statistical

Identifiers

PMID32623620
PMCPMC7393612

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.