Evidence map›Paper›PMID 41787893›Full record

ArticleEthics & human research

Institutional Review Board Obligations Regarding Study Funding Sufficiency.

Holly Fernandez Lynch, Tasneem Mohammad

Abstract read
In one paragraph

Article in Ethics & human research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Holly Fernandez LynchAssociate professor of medical ethics in the Department of Medical Ethics and Health Policy at the Perelman School of Medicine at the University of Pennsylvania.
Tasneem MohammadJD/MBE candidate at the Carey Law School at the University of Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given their obligations to ensure ethical research, we argue that institutional review boards (IRBs) bear a responsibility to minimize the possibility that proposed clinical studies will terminate early for insufficient funding. Underfunded studies raise several ethical concerns, including potentially failing to satisfy the social value requirement for research, the possibility of leaving study participants worse off, and exposing participants to the "completion misconception," thereby impairing adequate informed consent. Although the practice is not currently typical, IRBs should confirm funding sufficiency before approving a study, ideally working with institutional offices or other experts skilled in budget review. In most cases, IRBs should withhold approval from studies lacking full funding at the point of review. In exceptional cases, however, an IRB may approve an important but underfunded study if the researcher discloses funding insufficiency and termination risk to prospective participants, does not leave participants worse off, has a clear funding plan, and follows checkpoints for securing funding within a reasonable timeframe. Even with IRB attention to study budgets at the point of approval, subsequent events outside an IRB's control may cause a study to lose its originally promised funding. To minimize these cases and their impact, IRBs can encourage institutions to buttress their funding agreements, seek sponsor certifications, require notification of material funding changes, and support investigators through contingency planning and communication with participants.

Indexed as

Biomedical ResearchEthics Committees, ResearchResearch Support as TopicHumansearly terminationfundinginstitutional review board (IRB)study budget

Identifiers

PMID41787893
PMCPMC12963951

What OpenQuestion 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 OpenQuestion graph.