Evidence mapPaperPMID 40835721Full record

ReviewNPJ digital medicine2025

Using the ICH estimand framework to improve the interpretation of treatment effects in internet interventions.

Manuel Heinrich, Pavle Zagorscak, Johannes Bohn, Christine Knaevelsrud, Lars Schulze

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Manuel HeinrichDivision of Clinical-Psychological Intervention, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany. manuel.heinrich@fu-berlin.de.
Pavle ZagorscakDivision of Clinical-Psychological Intervention, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Johannes BohnDivision of Clinical-Psychological Intervention, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Christine KnaevelsrudDivision of Clinical-Psychological Intervention, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Lars SchulzeGerman Center for Mental Health (DZPG), partner site Berlin-Potsdam, Berlin-Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ICH E9(R1) Addendum on Estimands and Sensitivity Analysis provides a framework for defining the treatment effect a trial intends to estimate-the estimand. The addendum is widely adopted in pharmaceutical research. However, it remains underutilized in trials investigating internet-based interventions (IBIs). This manuscript introduces the addendum to IBI researchers. It concludes that estimands are essential to improve the interpretability, relevance, and validity of effect estimates derived in IBI trials.

Identifiers

PMID40835721
PMCPMC12368201

What Socratic holds

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LicenceCC BY
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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 Socratic graph.