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A JAMA Press Briefing on CER, Helicopters and Time for Questions

This week the Journal of the American Medical Asso­ci­ation, JAMA, held a media briefing on its current, Com­par­ative Effec­tiveness Research (CER) theme issue. The event took place in the National Press Club. A doctor, upon entering that building, might do a double-​​take waiting for the ele­vator, curious that the jour­nalists occupy the 13th floor – what’s absent in some hos­pitals.

CER is a big deal in med­icine now. Dry as it is, it’s an inves­tigative method that any doctor or health care maven, politician con­tem­plating reform or, maybe, a patient would want to know. The gist of CER is that it exploits large data sets – like SEER data or Medicare billing records — to examine out­comes in huge numbers of people who’ve had one or another inter­vention. An advantage of CER is that results are more likely gen­er­al­izable, i.e. applicable in the “real world.” A long-​​standing crit­icism of ran­domized trials – held by most doctors, and the FDA, as the gold standard for estab­lishing efficacy of a drug or pro­cedure — is that patients in research studies tend to get better, or at least more metic­ulous, clinical care.

The JAMA program began with an intro by Dr. Phil Fonta­narosa, a senior editor and author of an edi­torial on CER, fol­lowed by 4 pre­sen­ta­tions. The sub­jects were, on paper, shock­ingly dull: on car­bo­platin and pacli­taxel w/​ and w/​out beva­cizumab (Avastin) in older patients with lung cancer; on sur­vival in adults who receive heli­copter vs. ground-​​based EMS service after major trauma; a com­parison of side effects and mor­tality after prostate cancer treatment by 1 of 3 forms of radi­ation (con­formal, IMRT, or proton therapy); and – to cap it off — a pre­sen­tation on PCORI’s pri­or­ities and research agenda.

I learned from each speaker. They brought life to the topics! Seri­ously, and the scene made me realize the value of meeting and hearing from the researchers, directly, in person. But, NTW, on ML today we’ll skip over the oncologist’s detailed report to the second story:

Dr. Adil Haider, a trauma surgeon at Johns Hopkins, spoke on helicopter-​​mediated saves of trauma patients. Totally cool stuff; I’d rate his talk “exotic” – this was as far removed from the kind of work I did on mol­e­cular receptors in cancer cells as I’ve ever heard at a medical or jour­nalism meeting of any sort -

Haider indulged the audience, and grabbed my attention, with a bit of history:  HEMS, which stands for helicopter-​​EMS, goes back to the Korean War, like in M*A*S*H. The real-​​life surgeon-​​speaker at the JAMA news briefing played a music-​​replete video showing a person hit by a car and rescued by heli­copter. While he and other trauma sur­geons see value in HEMS, it’s costly and not nec­es­sarily better than GEMS (Ground-​​EMS). Heli­copters tend to draw top nurses, and they deliver patients to Level I or II trauma centers, he said, all of which may favor sur­vival and other, better out­comes after serious injury. Acci­dents happen; pre­vious studies have ques­tioned the heli­copters’ benefit.

The problem is, there’s been no solid ran­domized trial of HEMS vs. GEMS, nor could there be. (Who’d want to get the slow pick-​​up with a lesser crew to a local trauma center?) So these inves­ti­gators did a ret­ro­spective cohort study to see what happens when trauma victims 15 years and older are delivered by HEMS or GEMS. They used data from the National Trauma Data Bank (NTDB), which includes nearly 62,000 patients trans­ported by heli­copter and over 161,000 patients trans­ported by ground between 2007 and 2009. They selected patients with ISS (Injury severity scores) above 15. They used a “clus­tering” method to control for dif­fer­ences among trauma centers, and oth­erwise adjusted for degrees of injury and other con­founding variables.

“It’s inter­esting,” Haider said. “If you look at the unad­justed mor­tality, the HEMS patients do worse.” But when you control for ISS, you get a 16% increase in odds of sur­vival if you’re taken by heli­copter to a Level I trauma center. He referred to Table 3 in the paper.  This, indeed, shows a big dif­ference between the “raw” and adjusted data.

In a sup­ple­mental video pro­vided by JAMA (starting at 60 seconds in):

When you first look, across the board, you’ll see that actually more patients trans­ported by heli­copter, in terms of just the raw per­centages, actually die.” – Dr. Samuel Gal­vagno (DO, PhD), the study’s first author.

The video imme­di­ately cuts to the senior author, Haider, who continues:

But when you do an analysis con­trolling for how severely these patients were injured, the chance of sur­vival improves by about 30 percent, for those patients who are brought by helicopter…

Big picture:

What’s clear is that how inves­ti­gators adjust or manip­ulate or clarify or frame or present data – you choose the verb – yields dif­fering results. This capa­bility doesn’t just pertain to data on trauma and heli­copters. In many Big Data sit­u­a­tions, researchers can cut infor­mation to impress whatever point they choose.

The report offers a case study of how researchers can use elab­orate sta­tis­tical methods to support a clinical decision in a way that few doctors who read the results are in a position to grasp, to know if the con­clu­sions are valid, or not.

A con­cluding note –

I appre­ciated the time allotted for Q&A after the first 3 research pre­sen­ta­tions. There’s been recent, legit­imate ques­tioning of the value of medical con­fer­ences. This week’s session, spon­sored by JAMA, rein­forced to me the value of meeting study authors in person, and having the oppor­tunity to question them about their findings. This is crucial, I know this from my prior expe­rience in cancer research, when I didn’t ask enough hard ques­tions of some col­leagues, in public. For the future, at places like TEDMED – where I’ve heard there was no attempt to allow for Q&A — the audience’s con­cerns can reveal problems in the­ories, pub­lished data and, con­struc­tively, help researchers fill in those gaps, ulti­mately to bring better-​​quality infor­mation, from any sort of study, to light.

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