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Why Research Proposals Are Marked Down—Reflections of One NIH Reviewer

By Robert Wallace, M.D., M.Sc.

The National Institutes of Health is the major funding source in the US for epidemiologic research proposals. Grant applications are funneled through the Epidemiology Study Section, a peer review group consisting of two sub-committees of 20 members each. This body reviews and rates approximately 350 individual research proposals each year. Dr. Robert Wallace from the Department of Preventive Medicine and Environmental Health at the University of Iowa has been a member of this Study Section since 1979. The following article is taken from remarks prepared by Dr. Wallace for a round table discussion held at the recent APHA meeting in Los Angeles.

The opinions expressed are those of one reviewer offered to new investigators and others in the hope of improving the quality and success of submitted proposals. Examples used are fictitious and similarities to actual grants are coincidental and unintended.

1) Inadequate Attention to the Basic and Clinical Science Aspects of the Epidemiological Proposal

Many grants are marked down because the author has not reconciled the proposed work with existing scientific knowledge. The scientific rationale must occur in a context of existing knowledge from relevant disciplines impinging on the problem. While it is true that an empirical association between a putative causal agent and a disease can have preventive implications regardless of biologic explanation, the reviewer should show that pertinent basic knowledge has been considered. Many epidemiologic proposals are reviewed by basic scientists in pertinent substantive areas.

2) Insufficient Persuasion That the Proposed Research Will Add to Knowledge of Disease Etiology, Mechanism or Control

This takes many forms. Some investigators imply (in my view mistakenly) that a study is justified merely because of the enormity or public health significance of the problem at hand or because the problem has not been adequately studied epidemiologically. In many instances, studies are proposed in areas that require resolution, but in which a number of conflicting studies already exist. Approaching these areas with similar methods is not especially attractive unless the reviewers can be persuaded that new insights or resolution might be anticipated. A particularly difficult problem arises in evaluation of a data set already collected when funds are requested only for analysis. In this circumstance, persuasiveness of scientific value is just as important as for proposals undertaking new data collection.

3) Misuse of Personal Reputations

In general, the reputation and productivity record of senior investigators adds to the attractiveness of a proposal. However, this is not enough to carry a mediocre or inadequately prepared document. In cases where junior scientists are principal investigators, demonstrating that senior guidance or consultation is available can help, but this should be reflected in the text of the proposal, not merely on the personnel page. Reviewers know that many senior scientists are busy (e.g., as departmental executives) and may be skeptical of the level of input actually possible.

4) Inadequate Characterization of Exposures

Most investigators characterize and define diseases and cases with considerable clarity. However, sometimes unavoidably, the agents or exposures are less well-defined and quantified, making the proposal less attractive. Can study subjects (and even more cogently, surrogate respondents) remember prior exposures? Types or names of drugs, agents at the job site, and diet are examples of exposures where some demonstration of validity is helpful. Similarly, quantification of prior exposures to physico-chemical agents such as dusts, low level x-rays, pesticides or allergens must be credible. Assistance from or collaboration with those having appropriate dosimetric skills is helpful. The sometimes necessary substitution of proxy measures for exposures (e.g. duration at a particular job for an actual chemical exposure) may require additional discussion.           

5) Misconceptions About the Research Budget.

Clarity in justifying the budget is crucial, because it is often difficult for reviewers to evaluate local costs and budgetary situations. Salaries and ancillary expenses vary greatly. Proportions of time committed by investigators and staff is somewhat arbitrary. Due to shrinking research funds, high budgets are always looked at somewhat askance, though if appropriate they are no deterrence. Budgets that seem too high or too low may bespeak investigator inexperience. Artificially inflating the budget so that it will be cut to the “right” level in my view detracts from reviewer enthusiasm. Proposals that are for finishing a project with an expired budget or for analyzing existing data should explain clearly why analyses were not done in the original time frame. Finally, budgets that imply or overtly state that investigator salaries are needed all or in part to maintain employment do not carry much weight.

6) Writing For the Appropriate Reviewer.

The triage process for submitted proposals seems to work reasonably well. However, even with outside specialty opinions, the reviewers may not be fully schooled in the specific area of your proposal. For example, if you wish to study the epidemiology of adrenal-cortical carcinoma, your proposal will be evaluated by at least two experienced cancer epidemiologists, but neither may have ever worked with that particular site. Therefore, the proposal should contain appropriate biologic and methodologic background for someone not immediately familiar with the details of that site. Omission of important information which might be known only to a reviewer skilled in a subspecialty area unfortunately can detract from a research plan.

7) Inadequate Sample Sizes.

Many investigators quite appropriately give power estimates of the likelihood of obtaining a significant finding (e.g., relative risk), based on various sample sizes. These estimates are often based on the major hypothesis to be tested. Frequently there are also sub-hypotheses, to be tested on some fraction of the study population, which may have a lower power because of limited subject numbers. Indeed, sometimes sub-hypotheses or interactions may be a substantial part of the proposal’s promise, yet sample sizes for these latter analyses may be inadequate. One example is the distribution of occupational categories among cases with disease X and controls. The proportion of subjects with a given occupation is likely to be small and the chances of significant results uncertain. Be sure sample sizes are adequate for each hypothesis discussed. In general, hypothesis-generating proposals are not as well received as those hypothesis-testing.

8) Over-dependence on An Existing Cohort.

Many investigators have established cohorts for long-term study. Many have had important results in the first three to five years of observation. However, the investigators should not assume that prior findings and vaguely stated plans for further analysis alone will be sufficient. Specific goals and potential findings should be clearly described, and a case should be made that such findings are not merely secondary refinements of previous analyses. One deficit of long-term studies is that independent variables collected in the past may with time lose their specificity or cogency. Reviewers often ask how long such a study might be expected to continue. Anticipate this question in your discussion.

9) Proposed Activities are Being Conducted Elsewhere.

Sometimes otherwise highly qualified proposals are marked down because the reviewers know that the same or similar studies are already in progress elsewhere. Of course, no two studies are ever totally alike and replication of important studies in diverse populations is useful. Yet, since research funds are limited, reviewers may be averse to supporting another proposal in a given area. Unfortunately, there is usually no formal mechanism, within the National Institutes of Health or elsewhere, to determine if there is work in progress in a specific area, and this issue depends capriciously on the personal knowledge of reviewers.

10) The “Will it Work?” Syndrome.

It seems to me that after evaluating the details and components of a proposal, the reviewer steps back and asks, despite the methodologic flaws that all real-world studies have, if the study will work and be productive. This is intangible and giving advice to the investigator is difficult. Proposal organization, legibility and clarity can help, and are especially important with the recent emphasis on shorter proposals. Placing potential findings in the context of scientific advancement lends credibility. Consulting NIH program directors in advance of proposal submission may yield important and helpful counsel. The investigator should remember to demonstrate awareness of potential pitfalls, document collaborative arrangements, and show competence in the use and limitations of new technologies or advanced biostatistical methods. Finally, the investigator should step back and look at his/her own work as a total “package.” Correctable defects may be found.

Published December 1981 

 

 
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