Evidence map›Paper›PMID 31304319›Full record

ReviewNPJ digital medicine2018

Transforming Psychiatry into Data-Driven Medicine with Digital Measurement Tools.

Honor Hsin, Menachem Fromer, Bret Peterson, Collin Walter, Mathias Fleck, Andrew Campbell, Paul Varghese, Robert Califf

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

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

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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

8 authors.

Honor HsinVerily Life Sciences, 269 East Grand Avenue, South San Francisco, CA 94080 USA.
Menachem FromerVerily Life Sciences, 355 Main Street, Cambridge, MA 02142 USA.ORCID 0000-0003-3749-4342
Bret PetersonVerily Life Sciences, 269 East Grand Avenue, South San Francisco, CA 94080 USA.
Collin WalterVerily Life Sciences, 269 East Grand Avenue, South San Francisco, CA 94080 USA.
Mathias FleckVerily Life Sciences, 269 East Grand Avenue, South San Francisco, CA 94080 USA.
Andrew Campbell3Department of Computer Science, Dartmouth College, Hanover, NH 03755-3510 USA.
Paul VargheseVerily Life Sciences, 355 Main Street, Cambridge, MA 02142 USA.
Robert Califf4Duke Forge, Duke University, Durham, NC 27708 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychiatry has been limited by historically rooted practices centered primarily on subjective observation. Fields such as oncology have progressed toward data-driven clinical decision-making that combines subjective clinical assessment of symptoms and preferences with biological measures such as genetics, biomarkers, imaging, and integrative physiology to derive quantitative risk scores and decision support. In contrast, psychiatry has just begun to scratch the surface of measurement-based care with validated clinical questionnaires. An opportunity exists to improve modern psychiatric care with novel data streams from digital sensors combined with clinical observation and subjective self-report. The prospect of integrating this complex information with modern computational and analytical methods could advance the field, both in research and clinical practice. Here we discuss this possibility and propose some key priorities to enable these innovations toward improving clinical outcomes in the future.

Indexed as

Predictive markersPsychiatric disorders

Identifiers

PMID31304319
PMCPMC6550182

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.